kingers

42.3 GB | 1h 34min 48s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 -Promo.mp4 (51.5 MB) 2 -Instruction.mp4 (41.21 MB) 1 -Episode 1 Who's in the cabinet.mp4 (230.83 MB) 2 -Episode 2 Let's take a train.mp4 (246.31 MB) 3 -Episode 3 What's an article.mp4 (380.8 MB) 4 -Episode 4 Whose shoe is that.mp4 (361.75 MB) 5 -Episode 5 Those students know nothing.mp4 (445.36 MB) 6 -Episode 6 To be or not to be a waiter.mp4 (667.83 MB) 7 -Episode 7 This article has a twin brother.mp4 (493.18 MB) 8 -Episode 8 I don't drink eight cups of coffee in the morning.mp4 (421.36 MB) 1 -Episode 9 How to spill coffee on the train.mp4 (296.33 MB) 10 -Episode 18 Grass is gross.mp4 (744.42 MB) 11 -Episode 19 Why is my fridge empty.mp4 (866.24 MB) 2 -Episode 10 What makes a good breakfast.mp4 (489.79 MB) 3 -Episode 11 Hamburger with sugar sounds good.mp4 (581.86 MB) 4 -Episode 12 Sleeping isn't healthy.mp4 (716.28 MB) 5 -Episode 13 How much salt is there in French fries.mp4 (842.86 MB) 6 -Episode 14 Can't work on Empty Stomach.mp4 (914.33 MB) 7 -Episode 15 How to say I'm thirsty.mp4 (869.35 MB) 8 -Episode 16 Why does junk food tastes so good.mp4 (770.81 MB) 9 -Intensive English Lesson 17.mp4 (669.01 MB) 1 -Episode 20 Cheese pizza is my fave.mp4 (791.64 MB) 10 -Episode 29 I don't hate Japanese food.mp4 (702.5 MB) 11 -Episode 30 It's difficult to get on the crowded train.mp4 (885.1 MB) 12 -Episode 31 Don't hit a snake with your foot.mp4 (909.35 MB) 2 -Episode 21 I don't want to live in the subway.mp4 (819.2 MB) 3 -Episode 22 Why don't pineapples grow in Canada.mp4 (913.92 MB) 4 -Episode 23 Eating out with Jack's girlfriend.mp4 (845.01 MB) 5 -Episode 24 She is getting all wet.mp4 (994.49 MB) 6 -Episode 25 Grocery shopping with no money.mp4 (707.46 MB) 7 -Episode 26 What can you do with your thumb.mp4 (800.11 MB) 8 -Episode 27 Pay your Pal.mp4 (684.5 MB) 9 -Episode 28 I do sit in the elevator.mp4 (670.36 MB) 1 -Episode 32 Beer doesn't grow on trees.mp4 (976.02 MB) 2 -Episode 33 He can speak with his nose.mp4 (900.84 MB) 3 -Episode 34 Hitting a table with your little toe again.mp4 (907.57 MB) 4 -Episode 35 I like it when my dog bites me.mp4 (993.53 MB) 5 -Episode 36 She hates working for free.mp4 (961.81 MB) 6 -Episode 37 Study smart, not hard.mp4 (881.03 MB) 7 -Episode 38 Take a walk, pal.mp4 (715.81 MB) 8 -Episode 39 I wear my sunglasses at night.mp4 (795.86 MB) 9 -Episode 40 No one can make me work 24-7.mp4 (975.74 MB) 1 -Episode 41 What does it cost to charge a Tesla.mp4 (883.87 MB) 2 -Episode 42 Who's low on gas.mp4 (1.01 GB) 3 -Episode 43 Don't do a dead-end job.mp4 (840.9 MB) 4 -Episode 44 Put your money where your mouth is.mp4 (853.86 MB) 5 -Episode 45 There's snow in my mouth.mp4 (781.06 MB) 6 -Episode 46 His business is going downhill.mp4 (779.54 MB) 1 -Episode 47 She did had a spare ticket.mp4 (896.49 MB) 2 -Episode 48 Who takes exams on Sunday.mp4 (836.88 MB) 3 -Episode 49 Sure you want to ask him out.mp4 (724.86 MB) 4 -Episode 50 The Yankees.mp4 (816.98 MB) 5 -Episode 51 What does MBA stand for.mp4 (763.43 MB) 6 -Episode 52 Mind sharing a spare tire.mp4 (732.83 MB) 7 -Episode 53 In this day and age.mp4 (751.65 MB) 8 -Episode 54 The landlord is kicking me out.mp4 (741.22 MB) 1 -Episode 55 There's no way you can put off your exams.mp4 (746.55 MB) 2 -Episode 56 Standing near the entrance.mp4 (675.71 MB) 3 -Episode 57 Grab a cup of coffee with a doughnut.mp4 (667.16 MB) 4 -Episode 58 Moving out.mp4 (778.25 MB) 5 -Episode 59 To pig or not to pig.mp4 (490.75 MB) 6 -Episode 60 I'm out of teeth.mp4 (361.85 MB) 1 -Thank you!.mp4 (13.61 MB)] Screenshot AusFile https://ausfile.com/598nxksqzlr8 https://ausfile.com/lfkx73c1n069 https://ausfile.com/6zrivimfpizm https://ausfile.com/o39gfzzf5q9g https://ausfile.com/f9u2u8u0wbmh https://ausfile.com/7uhw7cej4oz8 https://ausfile.com/u5iag0t3tpw1 https://ausfile.com/kzkhwm0zkxvs https://ausfile.com/az8bvynu6sp3 https://ausfile.com/chkzm3w94qd2 https://ausfile.com/zaq6cv94g7g5 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1.04 GB | 12min 33s | mp4 | 1912X1088 | 16:9 Genre:eLearning |Language:English Files Included : FileName :1 Introduction.mp4 | Size: (13.58 MB) FileName :2 Course Overview.mp4 | Size: (18.72 MB) FileName :3 Getting Set Up.mp4 | Size: (44.21 MB) FileName :1 Creating HTML Text Practice.mp4 | Size: (32.24 MB) FileName :2 Variables & Styling Setup.mp4 | Size: (53.95 MB) FileName :3 Styling HTML Text.mp4 | Size: (45.54 MB) FileName :4 Styling the Intro Section.mp4 | Size: (38.25 MB) FileName :5 Styling Text Exercise.mp4 | Size: (4.87 MB) FileName :6 Styling Text Solution.mp4 | Size: (48.28 MB) FileName :1 Nav Bar HTML Practice.mp4 | Size: (37.84 MB) FileName :2 Styling a Navbar with Flexbox.mp4 | Size: (52.94 MB) FileName :3 Styling Navbar Links.mp4 | Size: (32.33 MB) FileName :4 Font Awesome Icons.mp4 | Size: (64.67 MB) FileName :5 Navbar Icon Practice.mp4 | Size: (20.97 MB) FileName :1 Styling a Call to Action Button.mp4 | Size: (31.73 MB) FileName :2 Making a Navbar Responsive.mp4 | Size: (35.07 MB) FileName :3 Footer Section Practice.mp4 | Size: (35.1 MB) FileName :1 Moving from CodePen to VS Code.mp4 | Size: (57.9 MB) FileName :2 Styling Page Sections.mp4 | Size: (90.2 MB) FileName :3 Creating Gradient Line Breaks.mp4 | Size: (35.81 MB) FileName :1 Portfolio Projects Section Markup.mp4 | Size: (23.96 MB) FileName :2 Styling Portfolio Projects Section.mp4 | Size: (63.25 MB) FileName :3 Responsive Projects Layout.mp4 | Size: (44.27 MB) FileName :4 Overlapping Items with CSS Grid.mp4 | Size: (32.63 MB) FileName :5 Alternating Layout Practice.mp4 | Size: (18.33 MB) FileName :6 Complete Home Page Practice.mp4 | Size: (38.58 MB) FileName :7 About Page Practice.mp4 | Size: (41.08 MB) FileName :1 Wrapping Up.mp4 | Size: (5.71 MB)] Screenshot AusFile https://ausfile.com/87kjwg6j9c9n/Getting.Started.with.CSS.part1.rar https://ausfile.com/d0xyzi0nq77x/Getting.Started.with.CSS.part2.rar RapidGator https://rapidgator.net/file/c1f919b1c3810fa7846716794165560f/Getting.Started.with.CSS.part1.rar https://rapidgator.net/file/d75646db755e2a376b888a6ef89ddda7/Getting.Started.with.CSS.part2.rar TurboBit https://turbobit.net/g82vqnvombc8/Getting.Started.with.CSS.part1.rar.html https://turbobit.net/5y9vvkvlrv74/Getting.Started.with.CSS.part2.rar.html

378.27 MB | 6min 37s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : FileName :1 Introduction.mp4 | Size: (29.08 MB) FileName :10 New Metering for Loudness Standards II (True Peak).mp4 | Size: (10.54 MB) FileName :11 Level Metering - Broadcast Loudness Standards.mp4 | Size: (20.87 MB) FileName :12 Level Metering - Loudness Standards for Music - Streaming.mp4 | Size: (35.96 MB) FileName :13 Waveform Metering; Oscilloscope.mp4 | Size: (18.65 MB) FileName :14 Spectrum Metering - Spectrum Analyzer.mp4 | Size: (19.09 MB) FileName :15 Metering for Mastering - Phase-Vectorscope-Goniometer.mp4 | Size: (21.12 MB) FileName :16 Metering for Mastering - Correlation Meter; Balance Meter.mp4 | Size: (17.75 MB) FileName :17 Spectrogram I - The Display.mp4 | Size: (17.67 MB) FileName :18 Spectrogram II - Applications - Audio Repair, Inst Separation.mp4 | Size: (31.72 MB) FileName :19 Spectrogram III - Creative Applications - Sound Design.mp4 | Size: (15.92 MB) FileName :2 Level Metering - Peak vs Average.mp4 | Size: (7.32 MB) FileName :20 Wrap-up.mp4 | Size: (20.44 MB) FileName :3 Level Metering - Meter Ballistics; Gain vs Gain Reduction.mp4 | Size: (12.8 MB) FileName :4 Level Metering - Scales I - Analog vs Digital.mp4 | Size: (11.36 MB) FileName :5 Level Metering - Scales II - Linear vs Exponential.mp4 | Size: (5.32 MB) FileName :6 Meter Levels - Best Practices I - Recording.mp4 | Size: (23.07 MB) FileName :7 Meter Levels - Best Practices II - Stereo Master.mp4 | Size: (24.56 MB) FileName :8 Level Metering Standards - Overview.mp4 | Size: (20.1 MB) FileName :9 New Metering for Loudness Standards I (LU-LUFS).mp4 | Size: (14.93 MB)] Screenshot AusFile https://ausfile.com/924khwxf7qjp/Ask.Video.Audio.Concepts.203.Advanced.Metering.rar RapidGator https://rapidgator.net/file/7abc457bc95f205dd85af5236e3988da/Ask.Video.Audio.Concepts.203.Advanced.Metering.rar TurboBit https://turbobit.net/dgk50m7qsich/Ask.Video.Audio.Concepts.203.Advanced.Metering.rar.html

133.93 MB | 7min 30s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : FileName :1 Introduction.mp4 | Size: (2.68 MB) FileName :10 Envelopes Velocity.mp4 | Size: (6.87 MB) FileName :11 Envelope Loops.mp4 | Size: (9.4 MB) FileName :12 Filter Section.mp4 | Size: (11.95 MB) FileName :13 LFO Section.mp4 | Size: (6.11 MB) FileName :14 LFO uses.mp4 | Size: (7.25 MB) FileName :15 Pitch Section.mp4 | Size: (7.53 MB) FileName :16 Global Section.mp4 | Size: (11.75 MB) FileName :17 Designing an Electric Piano.mp4 | Size: (11.97 MB) FileName :2 Interface.mp4 | Size: (3.66 MB) FileName :3 FM Synthesis.mp4 | Size: (9.01 MB) FileName :4 FM Algorithms.mp4 | Size: (4.97 MB) FileName :5 Operators & Envelopes.mp4 | Size: (4.14 MB) FileName :6 Operator Tuning.mp4 | Size: (7.78 MB) FileName :7 Waveforms.mp4 | Size: (16.25 MB) FileName :8 Feedback.mp4 | Size: (5.53 MB) FileName :9 Envelopes.mp4 | Size: (7.06 MB)] Screenshot AusFile https://ausfile.com/n2shr1a7xn1j/Ask.Video.Ableton.Live.302.Exploring.FM.with.Operator.rar RapidGator https://rapidgator.net/file/4ca8e6550bcc6f333903372f8caa4766/Ask.Video.Ableton.Live.302.Exploring.FM.with.Operator.rar TurboBit https://turbobit.net/k4hiy4dhx1q6/Ask.Video.Ableton.Live.302.Exploring.FM.with.Operator.rar.html

1.7 GB | 16min 2s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Introduction.mp4 (28.7 MB) 10 Events Practice.mp4 (69.06 MB) 11 Boolean.mp4 (32.91 MB) 12 If, Else and Ternary Operator.mp4 (27.62 MB) 13 Push, pop, shift and unshift.mp4 (28.78 MB) 14 Sort the array.mp4 (29.69 MB) 15 Split the string.mp4 (8.01 MB) 16 Array Splice.mp4 (24.75 MB) 17 Basic Object.mp4 (15 MB) 18 XMLHttpRequest and Fetch.mp4 (62.06 MB) 19 Callback function.mp4 (53.84 MB) 2 Variables.mp4 (15.64 MB) 20 Basic Promise.mp4 (27.3 MB) 21 Example of Promises.mp4 (20.88 MB) 22 Promise Paralel Process.mp4 (25.43 MB) 23 Promise Serial Process.mp4 (28.63 MB) 24 Sync vs Async.mp4 (25.07 MB) 25 Recursive Function.mp4 (59.41 MB) 3 String, Integer, Boolean, Object & Array.mp4 (27.78 MB) 4 Array of objects, object of arrays.mp4 (32.08 MB) 5 Arithmetic, rounding down, rounding up.mp4 (23.55 MB) 6 Javascript Function.mp4 (39.04 MB) 7 Function practice.mp4 (22.98 MB) 8 Javascript DOM.mp4 (77.06 MB) 9 Javascript Events.mp4 (46.18 MB) 1 Linear Search.mp4 (18.16 MB) 2 Binary Search.mp4 (83.32 MB) 3 Insertion Sort.mp4 (66.47 MB) 4 Selection Sort.mp4 (34.83 MB) 1 #1 HTML and CSS.mp4 (109.47 MB) 2 #2 Javascript.mp4 (105.15 MB) 1 #1 HTML.mp4 (133.51 MB) 2 #2 CSS.mp4 (184.14 MB) 3 #3 Javascript.mp4 (124.07 MB) 1 Localstorage.mp4 (25.39 MB)] Screenshot AusFile https://ausfile.com/h8t2huwh93u7 https://ausfile.com/yndfuhqmegyd RapidGator https://rapidgator.net/file/c2d12c463ac8b9f3c54aa2c29331f428/ https://rapidgator.net/file/87e2c7bf27e26400444cf084e9d0ff43/ TurboBit https://turbobit.net/rs9dd36tfvox.html https://turbobit.net/ikuyy80v6gdh.html

Network Address Translation - Cisco Routers Duration: 3h 30m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.63 GB Genre: eLearning | Language: English EVERYTHING you need to know about NAT, and the configuration + verification of EVERY type of NAT on a Cisco IOS Router. What you'll learn Network Address Translation (NAT) Configuring and Verifying NAT on Cisco Routers Requirements Basic understanding of computer networks Description This course has two modules. The first module will teach you Everything there is to know about Network Address Translation: Why it exists, How it it works, What happens to packets as they get translated. This module will explain every type of translation: Static NAT, Static PAT, Dynamic PAT, and Dynamic NAT. You'll learn about each of these in a way that is completely vendor agnostic - the concepts you learn here will apply to any vendor and any platform. You'll then learn how these four types of translations are used in Policy NAT and Twice NAT. The second module will teach you how to Configure and Verify each type of address translation discussed in Module 1. If you configure or troubleshoot NAT on a Cisco Router, this is the module for you! We'll methodically take you through the the syntax for each type of NAT and show you various show commands that let you validate NAT's operation. The lab topology will show and prove every NAT concept from Module 1, as we show you a packet capture before it arrives on the NAT router, and after it leaves the NAT router - showing you exactly what is changed and in what situations. This course is the last resource you will ever have to study to become a subject matter expert (SME) on NAT on a Cisco Router. Who this course is for: Network Engineers / Admins looking to Truly understand NAT CCNA Certification candidates Anyone who configures or troubleshoots NAT on a Cisco Router More Info AusFile https://ausfile.com/pb325m39b40j/Udemy_Network_Address_Translation_Cisco_Routers_2020-3.part1.rar https://ausfile.com/s48jlvo7np19/Udemy_Network_Address_Translation_Cisco_Routers_2020-3.part2.rar RapidGator https://rapidgator.net/file/db7169c12ce324855f5f8be6d018cfb2/Udemy_Network_Address_Translation_Cisco_Routers_2020-3.part1.rar https://rapidgator.net/file/c076db1e1411e9096103441214eb1703/Udemy_Network_Address_Translation_Cisco_Routers_2020-3.part2.rar TurboBit https://turbobit.net/fzqvb2gy8bjr/Udemy_Network_Address_Translation_Cisco_Routers_2020-3.part1.rar.html https://turbobit.net/t5ihb4oiq4nd/Udemy_Network_Address_Translation_Cisco_Routers_2020-3.part2.rar.html FileFactory

AI-Powered Data Visualization With Angular, React And Nodejs Published 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 19.14 GB | Duration: 37h 43m Build web apps with natural language, SQL queries, dynamic charts, and PostgreSQL integration What you'll learn Build production-ready applications that combine AI with modern data visualization techniques Build an amazing RAG application with React and/or Angular Build a GraphQL server based on NodeJS, Express and Apollo Server Learn to setup AI prompts that generates SQL queries Learn to chat with PostgreSQL database Create AI-driven charts from PostgreSQL data Easily deploy apps on Render and Vercel Use Anthropic AI model Requirements Basic knowledge of Javascript and Express is required No prior GraphQL knowledge is required No prior React and Angular knowledge is required Description Learn to build an AI-powered data visualization dashboard from scratch using Angular, React, NodeJS, and Claude AI! This hands-on, project-based course teaches you to create a full-stack web application that transforms natural language into SQL queries and dynamic charts using AI, perfect for developers looking to master AI integration in modern web development. This course teaches you how to build two complete full-stack applications that leverage the power of Anthropic's Claude AI to transform natural language into dynamic data visualizations.What You'll Learn:Build production-ready applications that combine artificial intelligence with modern data visualization techniques. You'll develop identical functionality using both Angular and React, giving you versatile skills that appeal to a wider range of employers and projects. The course covers end-to-end development of an AI-enhanced analytics platform featuring:Frontend Development (Angular & React): Learn to create responsive, modern user interfaces using TypeScript and Tailwind CSS. Master state management with Redux Toolkit, and implement real-time data fetching using Apollo GraphQL Client. Create interactive visualizations using Chart.js, including bar charts, line charts, and pie charts that respond to natural language prompts.Backend Development: Develop a robust NodeJS and Express backend integrated with Anthropic's Claude AI model. Build a flexible Apollo GraphQL server that handles complex data operations and AI processing. Implement secure PostgreSQL database connections and management.What You'll Build:A production-ready analytics platform with:- AI-Powered SQL Generator: Convert natural language prompts to PostgreSQL queries using Claude AI- Dual Frontend Architecture: Build 2 UIs - one with Angular (Typescript, Redux Toolkit, Apollo Client) and another with React (Vite, Redux, Tailwind CSS)- Dynamic Visualization: Create bar, line, and pie charts with Chart.js using AI-generated data- Full-Stack Architecture:Backend: Node.js/Express.js with Apollo GraphQL ServerDatabase: PostgreSQL integration with CRUD operationsDevOps: Deploy to Render (Node.js) + Vercel (Frontends)Key Features Included:- Natural Language Processing (NLP) interface for data analysis- AI SQL Query Builder with error handling- Multi-Datasource Management (Add/Edit/Delete PostgreSQL connections)- Dual Editors: Prompt-based AI editor + Traditional SQL editor- Redux State Management in both Angular and React implementations- Responsive UI with Tailwind CSS styling- GraphQL API development with Apollo Server/Client- JWT Authentication integration (extra module)Technologies Covered:Frontend: Angular 19+, React 18+, Vite, Redux Toolkit, Apollo Client, Chart.js, Tailwind CSSBackend: Node.js, Express.js, Apollo Server, PostgreSQL, TypeORM, Claude AI APIDevOps: Render, Vercel, REST/GraphQL API deploymentBy the end of this course, you'll have built two complete, deployment-ready applications that showcase the power of AI in data visualization. You'll understand how to integrate complex technologies like GraphQL, AI, and modern state management while following industry best practices for both Angular and React development. Javascript developers looking to build React or Angular applications,Developers looking to learn and use GraphQL,Developers that wants to add AI integration to their full-stack development skills,Master comparative framework development (Angular vs React),Build data-intensive applications with modern visualization,Learn AI-to-SQL conversion techniques AusFile https://ausfile.com/of726petpvze/Udemy_AI_Powered_Data_Visualization_with_Angular_React_and_NodeJS_2025-2.part01.rar https://ausfile.com/g0wkn5vswiw1/Udemy_AI_Powered_Data_Visualization_with_Angular_React_and_NodeJS_2025-2.part02.rar https://ausfile.com/uorivhqtxpb2/Udemy_AI_Powered_Data_Visualization_with_Angular_React_and_NodeJS_2025-2.part03.rar https://ausfile.com/2cf2cuyan8g8/Udemy_AI_Powered_Data_Visualization_with_Angular_React_and_NodeJS_2025-2.part04.rar https://ausfile.com/8m5zwugg0hv2/Udemy_AI_Powered_Data_Visualization_with_Angular_React_and_NodeJS_2025-2.part05.rar 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8.19 GB | 19min 4s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Getx state management overview.mp4 (38.08 MB) 2 Getbuilder.mp4 (89.62 MB) 3 Getx and Obx.mp4 (114.33 MB) 4 Getx navigation.mp4 (36.99 MB) 1 Tab bar UI.mp4 (122.38 MB) 2 Getx state for tab bar.mp4 (100.04 MB) 3 Getting current user products.mp4 (85.89 MB) 4 My product card UI.mp4 (127.75 MB) 5 Showing products depending on state.mp4 (231.96 MB) 6 Popup for deleting or changing status.mp4 (119.04 MB) 1 Profile information UI.mp4 (137.83 MB) 2 Edit user, address and settings options.mp4 (87.03 MB) 3 Getting current user data from firebase.mp4 (225.04 MB) 4 Getting current user address.mp4 (154.68 MB) 5 Refresh ability.mp4 (32.3 MB) 1 Edit name and phone number.mp4 (244.82 MB) 2 Edit profile image.mp4 (138.38 MB) 3 Edit address.mp4 (132.02 MB) 1 Search screen UI.mp4 (138.43 MB) 2 Getting products from firebase based on search.mp4 (119.52 MB) 3 Products depending on categories.mp4 (98.77 MB) 4 Search bar functionality.mp4 (26.7 MB) 1 Message model.mp4 (80.34 MB) 2 Chats screen UI.mp4 (196.95 MB) 3 Message keyboard.mp4 (60.57 MB) 4 Send messages to users.mp4 (199.12 MB) 5 Streaming messages from firebase.mp4 (119.27 MB) 6 Delete message functionality.mp4 (62.44 MB) 1 Chat contacts screen header.mp4 (76.21 MB) 2 Chat tiles UI.mp4 (80.75 MB) 3 Streaming chat contacts from firebase.mp4 (113.16 MB) 4 Showing chat contacts on UI.mp4 (113.05 MB) 5 Navigation to view chats screen.mp4 (85.92 MB) 6 Chats count in profile.mp4 (55.2 MB) 1 Sign out functionality.mp4 (57.2 MB) 2 Conclusion of course.mp4 (23.07 MB) 1 Getting the packages.mp4 (54.11 MB) 2 Firebase setup.mp4 (35.6 MB) 3 Configuration of files.mp4 (39.32 MB) 1 Building login screen UI.mp4 (206.67 MB) 2 Building register screen UI.mp4 (151.96 MB) 3 Creating authcontroller with getx.mp4 (26.99 MB) 4 Getting location of user.mp4 (241.67 MB) 5 Firebase authentication setup.mp4 (11.34 MB) 6 Authenticating the user.mp4 (189.31 MB) 7 Implementing login functionality.mp4 (86.13 MB) 8 User navigation depending on authentication.mp4 (125.48 MB) 1 Building bottom navigationbar.mp4 (61.03 MB) 2 Adding getx state.mp4 (135.24 MB) 1 Starting screen UI.mp4 (100.27 MB) 2 Title and description screen UI.mp4 (220.38 MB) 3 Getx state for categories.mp4 (111.24 MB) 4 Product model.mp4 (67.05 MB) 5 Photos screen UI.mp4 (119.29 MB) 6 Getx state for adding photos.mp4 (106.46 MB) 7 Saving product to firebase.mp4 (285.78 MB) 1 Search bar UI.mp4 (66.57 MB) 2 Categories scroller UI.mp4 (165.2 MB) 3 Featured products UI.mp4 (183.8 MB) 4 Recommended products UI.mp4 (164.07 MB) 1 Getx home controller.mp4 (62.12 MB) 2 Getting featured products from firebase.mp4 (89.83 MB) 3 Showing them in UI.mp4 (171.54 MB) 1 Recommended products from firebase.mp4 (59.58 MB) 2 Show them in UI.mp4 (87.29 MB) 3 Showing user location of product.mp4 (216.31 MB) 1 Product image.mp4 (98.54 MB) 2 Product description.mp4 (70.54 MB) 3 Product location map.mp4 (110.8 MB) 4 User report and message options.mp4 (105.5 MB) 5 User information of product.mp4 (54.76 MB) 6 Adding user data on UI.mp4 (114.68 MB) 7 Address popup for location.mp4 (59.74 MB) 8 Report user functionality.mp4 (208.47 MB)] Screenshot AusFile https://ausfile.com/ggvb4l1vki5s https://ausfile.com/gz1s7gadvn39 https://ausfile.com/00fq165uio9v https://ausfile.com/k8xzoagnwn5t https://ausfile.com/lpikxgymljl4 https://ausfile.com/y9tnr6fvm2nd https://ausfile.com/yceo5dqo1sei https://ausfile.com/80env6pgafp7 https://ausfile.com/dzkjtv2w2vw7 RapidGator https://rapidgator.net/file/138a97541009dbbb3ed22f772de54832/ https://rapidgator.net/file/6e3bc30914a9d7121844ea04254dd4ad/ https://rapidgator.net/file/0b8a4c186a362a8c0af176e709679d9e/ https://rapidgator.net/file/a635e3c77d0c498458363b5abce3b153/ https://rapidgator.net/file/abc634d6a72b462cfaae535ba054a219/ https://rapidgator.net/file/3cbe3c78c59f430fe32d5e37bcd1b9e7/ https://rapidgator.net/file/9fd9294cfa6523ca81d760bdc2c51fa9/ https://rapidgator.net/file/60cf843567b1eaf01669f4ef4d919c29/ https://rapidgator.net/file/16bd3a69b89677432499175c104a652d/ TurboBit https://turbobit.net/qosocd1or5gs.html https://turbobit.net/j6x6r58b0j56.html https://turbobit.net/p2j4j90vk24z.html https://turbobit.net/9abh846zdicw.html https://turbobit.net/fj40ye7jme7n.html https://turbobit.net/pp7mpbyowbz2.html https://turbobit.net/ilak4tk6o0e4.html https://turbobit.net/9nrzhxwejqaw.html https://turbobit.net/u8knquwi7vc8.html

Network Address Translation - Cisco ASA and ASAx Firewalls Duration: 3h 54m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.56 GB Genre: eLearning | Language: English EVERYTHING you need to know about NAT, and its configuration and verification on Cisco ASA and ASAx Firewalls. What you'll learn Network Address Translation (NAT) Static NAT, Static PAT, Dynamic PAT, Dynamic NAT, Policy NAT, Twice NAT, Identity NAT, NAT Exemption Syntax and Configuration of NAT on Cisco ASA and ASAx Firewalls Operation and Verification of NAT on Cisco ASA and ASAx Firewalls Requirements Basic understanding of computer networks Description This course has three modules. The first module will teach you Everything there is to know about Network Address Translation: Why it exists, How it it works, What happens to packets as they get translated. This module will explain every type of translation: Static NAT, Static PAT, Dynamic PAT, and Dynamic NAT. You'll learn about each of these in a way that is completely vendor agnostic - the concepts you learn here will apply to any vendor and any platform. You'll then learn how these four types of translations are used in Policy NAT and Twice NAT. The second module will teach you the Syntax and Configuration of every type of NAT. There are two ways to configure NAT on a Cisco ASA and ASAx Firewall, and those two ways are Auto NAT and Manual NAT. Both of these methods require the use of objects, so this module starts with by defining and configuring objects. Then we discuss Auto NAT, when to use it and how to configure it. Then we talk through Manual NAT and provide configuration examples of every type of NAT it can configure. That leads us into an illustration of NAT Exemption. Finally, we finally wrap up with a discussion on NAT precedence and the order in which NAT statements are evaluated by the ASA.. Lastly, the third module will circle back to the concepts learned in the first module, and actually prove and demonstrate every claim that was made about NAT. The goal of this course is not only to tell you how NAT works, but also to prove it to you so you can see it for yourself. Who this course is for: Network Engineers / Admins looking to Truly understand NAT CCNA/CCNP Security Certification candidates Anyone who configures or troubleshoots NAT on a Cisco Firewall More Info AusFile https://ausfile.com/dsvmoo2p202u/Udemy_Network_Address_Translation_Cisco_ASA_and_ASAx_Firewalls_2021-5.part1.rar https://ausfile.com/0v6g2i74d2iq/Udemy_Network_Address_Translation_Cisco_ASA_and_ASAx_Firewalls_2021-5.part2.rar RapidGator https://rapidgator.net/file/b139af168af6ae0f2caa23e93a00b418/Udemy_Network_Address_Translation_Cisco_ASA_and_ASAx_Firewalls_2021-5.part1.rar https://rapidgator.net/file/1dc2ce28083b3bb5a07024b772505e4c/Udemy_Network_Address_Translation_Cisco_ASA_and_ASAx_Firewalls_2021-5.part2.rar TurboBit https://turbobit.net/5x1u2yzyo02d/Udemy_Network_Address_Translation_Cisco_ASA_and_ASAx_Firewalls_2021-5.part1.rar.html https://turbobit.net/gvzznocl3up9/Udemy_Network_Address_Translation_Cisco_ASA_and_ASAx_Firewalls_2021-5.part2.rar.html FileFactory

2.73 GB | 34min 12s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : FileName :1 1 The artist.mp4 | Size: (27.94 MB) FileName :1 2 The setup.mp4 | Size: (141.99 MB) FileName :2 1 INTRODUCTION TO CLIP STUDIO.mp4 | Size: (44.99 MB) FileName :2 2 The interface.mp4 | Size: (34.83 MB) FileName :2 3 The basic tools, pen and eraser.mp4 | Size: (25.04 MB) FileName :2 4 The shortcuts.mp4 | Size: (29.6 MB) FileName :3 1 Gathering references.mp4 | Size: (39.11 MB) FileName :3 2 Organizing your references.mp4 | Size: (25.55 MB) FileName :4 1 Introduction to sketching.mp4 | Size: (47.3 MB) FileName :4 2 Using references.mp4 | Size: (51.82 MB) FileName :4 3 Basic head structure.mp4 | Size: (38.51 MB) FileName :4 4 Using layers.mp4 | Size: (39.52 MB) FileName :4 5 Lines and shapes.mp4 | Size: (76.04 MB) FileName :4 6 Your style.mp4 | Size: (103.52 MB) FileName :4 7 The second sketch.mp4 | Size: (100.71 MB) FileName :4 8 Making adjustments.mp4 | Size: (92.15 MB) FileName :4 9 The third sketch.mp4 | Size: (101.16 MB) FileName :5 1 Introduction to inking.mp4 | Size: (173.07 MB) FileName :5 2 Auto select tool.mp4 | Size: (52.19 MB) FileName :5 3 Adjust line width tool.mp4 | Size: (40.79 MB) FileName :6 1 Introduction to coloring.mp4 | Size: (204.71 MB) FileName :6 2 Color theory and palettes.mp4 | Size: (28.83 MB) FileName :6 3 Introduction to shading theory and references.mp4 | Size: (105.97 MB) FileName :6 4 The shading process.mp4 | Size: (103.48 MB) FileName :6 5 Inverted shading.mp4 | Size: (45.03 MB) FileName :6 6 Flat black shading.mp4 | Size: (83.26 MB) FileName :6 7 Adding textures.mp4 | Size: (50.01 MB) FileName :7 1 Basic human anatomy.mp4 | Size: (86.6 MB) FileName :7 2 Your anatomical model.mp4 | Size: (96.96 MB) FileName :7 3 Feminine characters (I), the head.mp4 | Size: (33.34 MB) FileName :7 4 Feminine characters (II), the body.mp4 | Size: (22.7 MB) FileName :7 5 Other characters.mp4 | Size: (80.44 MB) FileName :8 1 The pose.mp4 | Size: (77.4 MB) FileName :8 2 Perspective.mp4 | Size: (61.5 MB) FileName :9 1 Introduction and references.mp4 | Size: (8.2 MB) FileName :9 2 The first sketch the body structure.mp4 | Size: (32.63 MB) FileName :9 3 The second sketch clothes and accessories.mp4 | Size: (92.43 MB) FileName :9 4 The third sketch.mp4 | Size: (68.07 MB) FileName :9 5 Inking a character (1).mp4 | Size: (50.59 MB) FileName :9 6 Inking a character (2).mp4 | Size: (107.74 MB) FileName :9 7 Coloring and shading a character.mp4 | Size: (53.95 MB) FileName :9 8 Closing words.mp4 | Size: (17.76 MB)] Screenshot AusFile https://ausfile.com/cr24je01pvqv/Character.Design.from.Beginner.to.Advanced-.Frank.Calico.part1.rar https://ausfile.com/qkrzexij0ex8/Character.Design.from.Beginner.to.Advanced-.Frank.Calico.part2.rar https://ausfile.com/4w6kpnahpyln/Character.Design.from.Beginner.to.Advanced-.Frank.Calico.part3.rar RapidGator https://rapidgator.net/file/37fc0a69ee8f69747631d63c89afdf82/Character.Design.from.Beginner.to.Advanced-.Frank.Calico.part1.rar https://rapidgator.net/file/411d891e4909052433d805f514a05af2/Character.Design.from.Beginner.to.Advanced-.Frank.Calico.part2.rar https://rapidgator.net/file/1b8ff4ab2974d0dc2eafb9726de6c9c3/Character.Design.from.Beginner.to.Advanced-.Frank.Calico.part3.rar TurboBit https://turbobit.net/5bsl6c067nfs/Character.Design.from.Beginner.to.Advanced-.Frank.Calico.part1.rar.html https://turbobit.net/p7gtte1w1umw/Character.Design.from.Beginner.to.Advanced-.Frank.Calico.part2.rar.html https://turbobit.net/6ywfg0tdmwdn/Character.Design.from.Beginner.to.Advanced-.Frank.Calico.part3.rar.html

Mastering Ansible Automation For Network Engineers Last updated 5/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 9.64 GB | Duration: 21h 57m 100% Hands-On Ansible Training with Beginner to Advanced Level Topics - Using Network Automation SSH, REST API Examples What you'll learn Master Ansible Network Automation from scratch. No prior coding experience is needed. 100% Hands-on demonstration Elevate your career as a future-ready Network Automation Engineer, equipped with cutting-edge skills and expertise REST API Automation using Ansible GET, POST, PUT, PATCH DELETE operation sto Devices SSH Automation and Leverage TextFSM, NTC templates and PyATS CLI Parsers in Ansible for device configuration Parsing Learn to use Ansible Network resource modules such as cisco ios_facts, ios_config, ios_comands, ios_interfaces, ios_l3_interfaces, ios_static_routes Use RegEX Filters in Ansible for custom config parsing In-depth understanding on Ansible valut for encrypting/decrypting variables and files Cisco IOS Resource Modules PaloAlto Firewall Automation using Ansible Examples Gain Beginner to Advanced knowledge on Ansible Playbook and Task Options Explore Jinja2 templating for dynamic configuration Generation using host or group variables Understand ansible Magic Variables, hostvars, play_vars, include_vars, group_vars, host_vars with examples Learn advanced playbook features such as loops, conditionals, handlers , block, rescue and assert Lab setup using GNS3 VM and VS Code as the IDE for Playbooks with SSH remote development extension Utilize Ansible roles and collections for modular and reusable automation. Implement automation solutions across Network Devices such as routers switches etc Optimize Ansible playbook strategies and parallelism for faster execution Ansible's inventory and configuration file management Understand Ansible Core vs Community Create ansible custom modules using Python Script Ansible include vs improt with task roles and playbooks examples Ansible task options, play options and debugger Clear explanation on Ansible's Variable Precedence Ansible loops conditionals and exception handling How to use Ansible's filter and lookup plugins How to use Network device resource module for configuration management REST API Automation using Ansible Configuration Parsing using Ansible RegEx Brief Introduction to Ansible automation frameworks such as Ansible AWX Requirements No prior Ansible or Python knowledge is required. You will learn everything you need to know Need knowledge on basic Networking concepts (What is SSH, Basic Interface Configurations in Router and Switches) Basics of Routing Protocols (static routes and dynamic routes) and Switching Protocols (vlans ) configuration knowledge Basic Understanding on setting up Cisco images in: GNS3 or EVE-NG Softwares used: Windows (Primary OS), VMWare Player,Ubuntu OS(VM), Ansible CLI, VSCode, GNS3VM Description Learn Ansible Automation skills from scratch to an advanced level for automating your Network.Gain an in-depth understanding of Ansible Playbook and Task OptionsFor attending this course you don't need any prior coding experience.100% Hands-on demonstration of the concepts using Network Automation UsecasesThe IDE is VS Code and Cisco devices will be used for demonstrating most of the device interactions.(vIOS, IOS-XE)Below are the topics in high levelThe course will be starting with how to setup Lab for Ansible Network Automation PracticeInstall and Setup Ubuntu OS VM for ansibleSetup VSCode for SSH remote developmentAnsible installation in the Python VIrtual EnvironmentAnsible Core and Community difference Inventory and Config file setupYAML File ,Playbook fundamentals and Ansible LintSSH Keybased Authentication to Cisco devices from AnsibleAnsible Vault for encrypting files and variablesDemonstration of Ansible Vault IDgroup_vars and host_vars Handle device specific variables and configurations effectivelyExplore advanced features of Ansible CLIcisco ios_facts and ios_commands module cisco ios_config module explained in detailPaloAlto Firewall Galaxy Collections ExamplesPaloAlto Address Objects, Object Groups and Security Rule automation using AnsibleCisco config diff, parent command, before, after, match and replace optionsios config backup optionsConfiguration backup and save optionCisco ios resource modulescisco interfaces, l3_interfaces and l2_interfaces resource modulecisco ios_user and static_route moduleCLI ParserspyATS, ntc_templates and TextFSM ParsersAnsible Magic Variableshostvars and play_varsset_fact vs vars explainedAnsible Variable precedence explained in detailAnsible filter Pluginsdefault, ternary, dict2items, items2dict filtersto_json, from_json, to_yaml, from_yaml filterszip, combine, map,json_query(using JMES Path) filtersip_address, url and datetime filterslist operations and string manipulation using filtersRegEX FiltersRegex search, find_all and replace filtersJinja2 templates examplejinja2 for loop and include optionjinja2 in ios_config moduleembed code in jinja2 templatelookup Pluginsfile lookup, template lookup pluginsvars, env and pipe lookup pluginsLoops and Conditionals : loops, until and when Play Optionsansible play strategies, forks and serialdebugger for effective troubleshootinghost order, log_pathtags and limit optioncheck_mode Task Optionsdelegate_torun_onceignore_erros and failed whenchanged_when and no_loguse handlers and listen optionblock and rescue for exception handlingassert optionHow to install ansible collections: using galaxy command, requirements file and githubHow to create roles and add tasks to respective directoriesDetailed explanation of ansible include vs importinclude_tasks vs import tasksinclude_role vs import roleimport_playbook modulehow to create ansible custom modulesconvert facts to csv file using custom module which uses python csv in the backendhow to pass module args to custom modulehow to return data using custom moduleREST API from Ansiblehow to use URI Module for REST APIYANG Suite introductionREST API from PostmanConvert POSTMAN REST request to Ansible URI taskInitiate REST - GET, PUT,POST PATCH and DELETE Operations from AnsibleHow to configure Cisco device using REST APIhow to save config using rest APIParse config using REST APIExtra Learning Topic(AWX)Install AWX in Minikube for learningBasics of Ansible execution environment (Podman) Who this course is for: Network Engineers, Network Administrators, Network Operatore,Network Architects,Net DevOps Engineers,Network Automation Engineers,Network Automation testing,System Administrators, System Engineers,Cisco Certified Professionals,CCNA, CCNP , CCI Professionals,All the Network Automation enthusiast,DevNet,DevOps who want to learn Network Automation,Routing Switching, Wireless and Security Engineers,Network Implementation Engineers,Network Design Professionals,Ansible Engineer Networking For More Courses Visit & Bookmark Your Preferred Language Blog From Here: - - - - - - - - AusFile https://ausfile.com/hryjrup44flp/Udemy_Mastering_Ansible_Automation_for_Network_Engineers_2024-2.part01.rar https://ausfile.com/8pvflxulf2ke/Udemy_Mastering_Ansible_Automation_for_Network_Engineers_2024-2.part02.rar https://ausfile.com/x6tnn4xzuclw/Udemy_Mastering_Ansible_Automation_for_Network_Engineers_2024-2.part03.rar https://ausfile.com/rq0ro7pmkzgr/Udemy_Mastering_Ansible_Automation_for_Network_Engineers_2024-2.part04.rar 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288.96 MB | 7min 39s | mp4 | 720X1280 | 0.563:1 Genre:eLearning |Language:English Files Included : FileName :1 -Introduction.mp4 | Size: (29.83 MB) FileName :1 -What Are NFTs.mp4 | Size: (57.42 MB) FileName :1 -What is Blockchain.mp4 | Size: (20.63 MB) FileName :1 -What is a Web3 Wallet.mp4 | Size: (21.31 MB) FileName :1 -Step-by-Step Guide to Minting an NFT.mp4 | Size: (23.85 MB) FileName :1 -How to Buy NFTs Safely on Marketplace.mp4 | Size: (21.24 MB) FileName :1 -What is the Metaverse & How It Connects with NFTs.mp4 | Size: (17.36 MB) FileName :1 -Common NFT & Web3 Scams & How to Avoid Them.mp4 | Size: (63.93 MB) FileName :1 -How to Stay Updated in the Web3 Industry.mp4 | Size: (33.4 MB)] Screenshot AusFile https://ausfile.com/m6hp3r7glt1i/NFT.Web3..Blockchain.Masterclass.From.Basics.to.Advanced.rar RapidGator https://rapidgator.net/file/205fa013892703472a584fcb6cbf2326/NFT.Web3..Blockchain.Masterclass.From.Basics.to.Advanced.rar TurboBit https://turbobit.net/8e5ihk4x7gg9/NFT.Web3..Blockchain.Masterclass.From.Basics.to.Advanced.rar.html

C# Design Patterns: Visitor .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 28m | 78.6 MB Instructor: Harrison Ferrone Design patterns can help you code more cleanly and efficiently. This course will help you learn to use the Visitor pattern in C#. At the core of developing flexible, modular C# applications is a foundational knowledge of design patterns and their use cases. In this course, C# Design Patterns: Visitor, you'll learn the skills you need to effectively leverage the Visitor design pattern in your own code. First, you'll learn where the Visitor pattern fits into the overall design pattern canon and the problem it solves in software development. Next, you'll dive into its building blocks, and finally, its correct implementation. When you're finished with this course, you will have a firm understanding of the Visitor pattern and its effectiveness, as well as a concrete example of how to integrate it into your own projects. Software required: Visual Studio. More Info AusFile https://ausfile.com/itoxmwyidb3g/Pluralsight.-.C%23.Design.Patterns.2021-11.part1.rar https://ausfile.com/3qyzcb4rwdtt/Pluralsight.-.C%23.Design.Patterns.2021-11.part2.rar RapidGator https://rapidgator.net/file/2d6a68e541187646ba4d6daa288e3fd8/Pluralsight.-.C#.Design.Patterns.2021-11.part1.rar https://rapidgator.net/file/12ec437e5a73c298c39c13250b33164e/Pluralsight.-.C#.Design.Patterns.2021-11.part2.rar TurboBit https://turbobit.net/r85kgpwglyja/Pluralsight.-.C%23.Design.Patterns.2021-11.part1.rar.html https://turbobit.net/p3ooa03ak7y9/Pluralsight.-.C%23.Design.Patterns.2021-11.part2.rar.html FileFactory

Validating Data Input in Spring 6 Web Applications .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 52m | 299 MB Instructor: Bogdan Sucaciu Data validation is one of the most critical aspects when designing and building a high quality system. This course will teach you how to properly validate input data while using Spring Web 6. What you'll learn Introducing unvalidated data into your system may cause severe errors in the long term. In this course, Validating Data Input in Spring 6 Web Applications, you'll learn to properly validate data introduced using web APIs. First, you'll explore how invalid data can affect our system. Next, you'll discover how out-of-the box annotations can be applied in order to have a consistent validation mechanism. Finally, you'll learn how to verify and validate input data in comparison with the persisted data. When you're finished with this course, you'll have the skills and knowledge of data validation needed to validate input data in Spring 6 Web Applications. More Info AusFile https://ausfile.com/mfkt6ucv58zy/Pluralsight.-.Validating.Data.Input.in.Spring.6.Web.Applications.2023-10.rar RapidGator https://rapidgator.net/file/e22c8c032595700e88ff6675eab354d2/Pluralsight.-.Validating.Data.Input.in.Spring.6.Web.Applications.2023-10.rar TurboBit https://turbobit.net/eaq5rv33ql96/Pluralsight.-.Validating.Data.Input.in.Spring.6.Web.Applications.2023-10.rar.html FileFactory

Python and Data Science from Scratch With RealLife Exercises Last updated 2/2024 Duration: 22h54m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 5.4 GB Genre: eLearning | Language: English Python Data Science with Python programming, NumPy, Pandas, Matplotlib and dive into Data Science with Python Projects What you'll learn Learn the skills for collecting, shaping, storing, managing, and analyzing data with Python The rise of data science needs will create 11.5 million job openings by 2026 Learn In-Demand Data Science Careers Learn to use Python professionally Learn to use Python 3 Learn to use Object Oriented Programming Free software and tools used during the course You will be able to work with Python functions, namespaces and modules Apply the Python knowledge you get from this course in coding exercises, real-life scenarios Build a portfolio with your Python skills Fundamentals of Pandas Library Installation of Anaconda and how to use Anaconda Using Jupyter notebook for Python, python data science Numpy Arrays for Numpy python Combining Dataframes, Data Munging and how to deal with Missing Data How to use Matplotlib library and start to journey in Data Visualization Whether you're interested in machine learning, data mining, or data analysis, Udemy has a course for you. OAK offers highly-rated data science courses that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective. Python is a multi-paradigm language, which means that it supports many programming approaches. Along with procedural and functional programming styles Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets. Data science is the key to getting ahead in a competitive global climate. Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction. Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems. Data science requires lifelong learning, so you will never really finish learning. Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website. Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks. Python has a simple syntax that makes it an excellent programming language for a beginner to learn. To learn Python on your own, you first must become familiar Python is a widely used, general-purpose programming language, but it has some limitations. Because Python is an interpreted, dynamically typed language It is possible to learn data science on your own, as long as you stay focused and motivated. Luckily, there are a lot of online courses and boot camps available Some people believe that it is possible to become a data scientist without knowing how to code, but others disagree. A data scientist requires many skills. They need a strong understanding of statistical analysis and mathematics, which are essential pillars of data science. The demand for data scientists is growing. We do not just have data scientists; we have data engineers, data administrators, and analytics managers. Requirements No prior data science, python, pandas, numpy knowledge is required Free software and tools used during the python data science course Basic computer knowledge for python, python data science, python pandas, numpy pandas Desire to learn data science Motivation to learn the second largest number of job postings relative python program language among all others Curiosity for python programming Desire to learn Python Desire to work on data science Project Desire to learn python data science, data science from scratch Desire to learn python, pandas, numpy, numpy python LIFETIME ACCESS, course updates, new content, anytime, anywhere, on any device Nothing else! It's just you, your computer and your ambition to get started today Description Welcome to my " Python and Data Science from Scratch With Real Life Exercises " course. Python Data Science with Python programming, NumPy, Pandas, Matplotlib and dive into Data Science with Python Projects Numpy, Pandas, Data science, data science from scratch, python, pandas, python data science, NumPy, python programming, python and data science from scratch with real life exercises, python for data science, data science python, matplotlib OAK Academy offers highly-rated data science courses that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies. Whether you're interested in machine learning, data mining, or data analysis, Udemy has a course for you. Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets. Essentially, data science is the key to getting ahead in a competitive global climate. Python instructors on OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels. Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks. Do you know data science needs will create 11.5 million job openings by 2026 ? Do you know the average salary is $100.000 for data science careers! DATA SCIENCE CAREERS ARE SHAPING THE FUTURE Data science experts are needed in almost every field, from government security to dating apps. Millions of businesses and government departments rely on big data to succeed and better serve their customers. So data science careers are in high demand. If you want to learn one of the employer's most request skills? If you are curious about Data Science and looking to start your self-learning journey into the world of data with Python? If you are an experienced developer and looking for a landing in Data Science! In all cases, you are at the right place! We've designed for you "Python and Data Science from Scratch With Real Life Exercises! " a straight-forward course for the Python programming language . In the course, you will have a down-to-earth way explanations with hands-on projects . With this course, you will learn Python Programming step-by-step. I made Python 3 programming simple and easy with exercises, challenges, and lots of real-life examples. We will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful libraries such as Numpy, Pandas, and Matplotlib step by step. Throughout the course, we will teach you how to use the Python to analyze data, create beautiful visualization s, and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Python for Data Science course. This Python and Data Science course is for everyone! My "Python and Data Science from Scratch With Real Life Exercises!" is for everyone! If you don't have any previous experience, not a problem ! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher). Why Python? Python is a general-purpose, high-level and multi-purpose programming language. The best thing about the Python is, it supports a lot of today's technology including vast libraries for twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development. What is data science? We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes in. Data science python uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction. Python data science seeks to find patterns in data and use those patterns to predict future data. It draws on machine learning to process large amounts of data, discover patterns, and predict trends. Data science using python includes preparing, analyzing, and processing data. It draws from many scientific fields, and as a python for data science , it progresses by creating new algorithms to analyze data and validate current methods. What does a data scientist do? Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems. This requires several steps. First, they must identify a suitable problem. Next, they determine what data are needed to solve such a situation and figure out how to get the data. Once they obtain the data, they need to clean the data. The data may not be formatted correctly, it might have additional unnecessary data, it might be missing entries, or some data might be incorrect. Data Scientists must, therefore, make sure the data is clean before they analyze the data. To analyze the data, they use machine learning techniques to build models. Once they create a model, they test, refine, and finally put it into production. What are the most popular coding languages for data science? Python for data science is the most popular programming language for data science. It is a universal language that has a lot of libraries available. It is also a good beginner language. R is also popular; however, it is more complex and designed for statistical analysis. It might be a good choice if you want to specialize in statistical analysis. You will want to know either Python or R and SQL. SQL is a query language designed for relational databases. Data scientists deal with large amounts of data, and they store a lot of that data in relational databases. Those are the three most-used programming languages. Other languages such as Java, C++, JavaScript, and Scala are also used, albeit less so. If you already have a background in those languages, you can explore the tools available in those languages. However, if you already know another programming language, you will likely be able to pick up. How long does it take to become a data scientist? This answer, of course, varies. The more time you devote to learning new skills, the faster you will learn. It will also depend on your starting place. If you already have a strong base in mathematics and statistics, you will have less to learn. If you have no background in statistics or advanced mathematics, you can still become a data scientist; it will just take a bit longer. Data science requires lifelong learning, so you will never really finish learning. A better question might be, "How can I gauge whether I know enough to become a data scientist?" Challenge yourself to complete data science projects using open data. The more you practice, the more you will learn, and the more confident you will become. Once you have several projects that you can point to as good examples of your skillset as a data scientist, you are ready to enter the field. How can ı learn data science on my own? It is possible to learn data science projects on your own, as long as you stay focused and motivated. Luckily, there are a lot of online courses and boot camps available. Start by determining what interests you about data science. If you gravitate to visualizations, begin learning about them. Starting with something that excites you will motivate you to take that first step. If you are not sure where you want to start, try starting with learning Python. It is an excellent introduction to programming languages and will be useful as a data scientist. Begin by working through tutorials or Udemy courses on the topic of your choice. Once you have developed a base in the skills that interest you, it can help to talk with someone in the field. Find out what skills employers are looking for and continue to learn those skills. When learning on your own, setting practical learning goals can keep you motivated. Does data science require coding? The jury is still out on this one. Some people believe that it is possible to become a data scientist without knowing how to code, but others disagree. A lot of algorithms have been developed and optimized in the field. You could argue that it is more important to understand how to use the algorithms than how to code them yourself. As the field grows, more platforms are available that automate much of the process. However, as it stands now, employers are primarily looking for people who can code, and you need basic programming skills. The data scientist role is continuing to evolve, so that might not be true in the future. The best advice would be to find the path that fits your skill set. What skills should a data scientist know? A data scientist requires many skills. They need a strong understanding of statistical analysis and mathematics, which are essential pillars of data science. A good understanding of these concepts will help you understand the basic premises of data science. Familiarity with machine learning is also important. Machine learning is a valuable tool to find patterns in large data sets. To manage large data sets, data scientists must be familiar with databases. Structured query language (SQL) is a must-have skill for data scientists. However, nonrelational databases (NoSQL) are growing in popularity, so a greater understanding of database structures is beneficial. The dominant programming language in Data Science is Python - although R is also popular. A basis in at least one of these languages is a good starting point. Finally, to communicate findings. Is data science a good career? The demand for data scientists is growing. We do not just have data scientists; we have data engineers, data administrators, and analytics managers. The jobs also generally pay well. This might make you wonder if it would be a promising career for you. A better understanding of the type of work a data scientist does can help you understand if it might be the path for you. First and foremost, you must think analytically. Data science from scratch is about gaining a more in-depth understanding of info through data. Do you fact-check information and enjoy diving into the statistics? Although the actual work may be quite technical, the findings still need to be communicated. Can you explain complex findings to someone who does not have a technical background? Many data scientists work in cross-functional teams and must share their results with people with very different backgrounds. What is python? Machine learning python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python bootcamp is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing different tools for programmers suited for a variety of tasks. Python vs. R: What is the Difference? Python and R are two of today's most popular programming tools. When deciding between Python and R in data science , you need to think about your specific needs. On one hand, Python is relatively easy for beginners to learn, is applicable across many disciplines, has a strict syntax that will help you become a better coder, and is fast to process large datasets. On the other hand, R has over 10,000 packages for data manipulation, is capable of easily making publication-quality graphics, boasts superior capability for statistical modeling, and is more widely used in academia, healthcare, and finance. What does it mean that Python is object-oriented? Python is a multi-paradigm language, which means that it supports many data analysis programming approaches. Along with procedural and functional programming styles, Python also supports the object-oriented style of programming. In object-oriented programming, a developer completes a programming project by creating Python objects in code that represent objects in the actual world. These objects can contain both the data and functionality of the real-world object. To generate an object in Python you need a class. You can think of a class as a template. You create the template once, and then use the template to create as many objects as you need. Python classes have attributes to represent data and methods that add functionality. A class representing a car may have attributes like color, speed, and seats and methods like driving, steering, and stopping. What are the limitations of Python? Python is a widely used, general-purpose programming language, but it has some limitations. Because Python in machine learning is an interpreted, dynamically typed language, it is slow compared to a compiled, statically typed language like C. Therefore, Python is useful when speed is not that important. Python's dynamic type system also makes it use more memory than some other programming languages, so it is not suited to memory-intensive applications. The Python virtual engine that runs Python code runs single-threaded, making concurrency another limitation of the programming language. Though Python is popular for some types of game development, its higher memory and CPU usage limits its usage for high-quality 3D game development. That being said, computer hardware is getting better and better, and the speed and memory limitations of Python are getting less and less relevant. How is Python used? Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks in the background. Many of the scripts that ship with Linux operating systems are Python scripts. Python is also a popular language for machine learning, data analytics, data visualization, and data science because its simple syntax makes it easy to quickly build real applications. You can use Python to create desktop applications. Many developers use it to write Linux desktop applications, and it is also an excellent choice for web and game development. Python web frameworks like Flask and Django are a popular choice for developing web applications. Recently, Python is also being used as a language for mobile development via the Kivy third-party library. What jobs use Python? Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website and server deployments. Web developers use Python to build web applications, usually with one of Python's popular web frameworks like Flask or Django. Data scientists and data analysts use Python to build machine learning models, generate data visualizations, and analyze big data. Financial advisors and quants (quantitative analysts) use Python to predict the market and manage money. Data journalists use Python to sort through information and create stories. Machine learning engineers use Python to develop neural networks and artificial intelligent systems. How do I learn Python on my own? Python has a simple syntax that makes it an excellent programming language for a beginner to learn. To learn Python on your own, you first must become familiar with the syntax. But you only need to know a little bit about Python syntax to get started writing real code; you will pick up the rest as you go. Depending on the purpose of using it, you can then find a good Python tutorial, book, or course that will teach you the programming language by building a complete application that fits your goals. If you want to develop games, then learn Python game development. If you're going to build web applications, you can find many courses that can teach you that, too. Udemy's online courses are a great place to start if you want to learn Python on your own. No prior knowledge is needed! Python doesn't need any prior knowledge to learn it and the Python code is easy to understand for beginners. What you will learn? In this course, we will start from the very beginning and go all the way to programming with hands-on examples. We will first learn how to set up a lab and install the needed software on your machine. Then during the course, you will learn the fundamentals of Python development like Variables, Data types, Numbers, Strings Conditionals and Loops Functions and modules Lists, Dictionaries, and Tuples File operations Object-Oriented Programming How to use Anaconda and Jupyter notebook, Datatypes in Python, Lots of datatype operators, methods and how to use them, Conditional concept, if statements The logic of Loops and control statements Functions and how to use them How to use modules and create your own modules Data science and Data literacy concepts Fundamentals of Numpy for Data manipulation such as Numpy arrays and their features How to do indexing and slicing on Arrays Lots of stuff about Pandas for data manipulation such as Pandas series and their features Dataframes and their features Hierarchical indexing concept and theory Groupby operations The logic of Data Munging How to deal effectively with missing data effectively Combining the Data Frames How to work with Dataset files And also you will learn fundamental things about the Matplotlib library such as Pyplot, Pylab and Matplotlb concepts What Figure, Subplot, and Axes are How to do figure and plot customization Python Python Data science Numpy Numpy python Pandas Python pandas With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions. Do not forget! Python has the second largest number of job postings relative to all other languages. So it will earn you a lot of money and will bring a great change in your resume. Why would you want to take this course? Our answer is simple: The quality of teaching. When you enroll, you will feel the OAK Academy`s seasoned developers' expertise. Video and Audio Production Quality All our videos are created/produced as high-quality video and audio to provide you the best learning experience. You will be, Seeing clearly Hearing clearly Moving through the course without distractions You'll also get: Lifetime Access to The Course Fast & Friendly Support in the Q&A section Udemy Certificate of Completion Ready for Download We offer full support , answering any questions. If you are ready to learn Python and Data Science from Scratch With Real Life Exercises course Dive in now! See you in the course! Who this course is for: Anyone who wants to start learning Python and Data Science Anyone who plans a career as a Python developer Anyone who needs a complete guide on how to start and continue their career with Python Software developer who want to learn python data science Anyone eager to learn Data Science python with no coding background Anyone who plans a career in data scientist, python data science, numpy python Anyone who wants to learn Pandas, numpy Anyone who wants to learn Numpy Anyone who wants to learn Matplotlib Anyone who wants to work on real data science project Anyone who wants to learn data visualization projects. 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MasterClass - Thomas Keller Teaches Cooking Techniques .MP4, AVC, 1000 kbps, 1280x720 | English, AAC, 128 kbps, 2 Ch | 7.6 hours | + PDF Workbook | 3.72 GB Fundamental techniques. Fantastic food. Thomas Keller is the only American-born chef to hold multiple Michelin three-star ratings. In his first online class, the chef behind The French Laundry teaches you how to master the fundamentals of cooking. Learn about handling kitchen tools, preparing foundational ingredients (like vegetables, eggs, and pasta), and the science behind cooking. Gain the skills-and confidence-that will help you execute recipes to perfection. 01. Introduction Meet your new instructor, Chef Thomas Keller. The award-winning chef shares an overview of what he'll be teaching in his MasterClass: fundamental cooking techniques that will empower you to make great food in your own kitchen. 02. Kitchen Setup: Essential Tools Before you start cooking, learn which essential tools-from knives to whisks-you should always keep in the kitchen. 03. Kitchen Setup: Essential Ingredients Learn the key ingredients that you'll need to enhance and add flavor to any dish. 04. Kitchen Setup: Cookware Finish your kitchen setup by learning what cookware you'll need for every dish. Chef Keller also shows you how to avoid cluttering your kitchen with unnecessary tools. 05. Sourcing Ingredients What does it really mean when food is called local, organic, or sustainable? Chef Keller explains those terms and talks about how he chooses ingredients for meals. 06. Vegetables: An Introduction Vegetables are a source of inspiration for Chef Keller. Here, he introduces you to a few preparations that will let you enjoy their flavors in every season. 07. Big-Pot Blanching: Asparagus Blanching gives you bright, vibrant, and well-seasoned vegetables. Learn Chef Keller's technique, and find out his favorite tools for peeling asparagus. 08. Glazing: Carrots Chef Keller teaches you how to bring out the natural sweetness of carrots by glazing them. 09. Peeling: Tomatoes Learn how Chef Keller refines tomatoes for use in salads, sauces, and sandwiches-by peeling them. 10. Braising: Artichokes Preparing artichokes takes patience and practice. But Chef Keller shows you how to transform the ingredient into dishes that are satisfying and versatile. 11. Purée: Potatoes This French potato purée is not to be confused with mashed potatoes. Learn how to create this luxurious dish-starting with the correct potato varietal to use. 12. Pickling Capture the seasonal flavors of vegetables for year-round enjoyment by learning how to properly pickle them. 13. Purée: Parsnips Learn how to purée a parsnip: a lesser-known root vegetable that Chef Keller loves. 14. Confit: Eggplant & Garlic Chef Keller teaches you how to confit an eggplant, applying a technique most commonly used with duck to make a creamy and succulent dish. 15. Roasting: Zucchini Learn how to enhance the flavor of a typical summer vegetable with this technique. 16. Baking: Beets Chef Keller's technique for beets involves baking to avoid diluting the flavor and color of the main ingredients. 17. Eggs: An Introduction Chef Keller loves working with eggs. He discusses why they are his favorite ingredient and explains the different ways you'll learn to work with them. 18. Mayonnaise Homemade mayonnaise is versatile, dynamic, flavorful, and the building block for many sauces. Learn how Chef Keller makes it. 19. Hollandaise Hollandaise is a very special sauce for Chef Keller, and he teaches you how to make it to accompany your dishes. 20. Custard: Crème Anglaise Crème anglaise is one of Chef Keller's favorite dessert sauces. Learn how to make a traditional vanilla anglaise-without curdling. 21. Meringue Use leftover egg whites from your sauces to make a beautiful, sweet dessert that will delight your friends and family. 22. Boiled Eggs Chef Keller begins every day with boiled eggs. There are many variables when boiling eggs-egg size, burner strength, and pot size, among others. Chef Keller teaches you how to boil an egg to your taste. 23. Scrambled Eggs Chef Keller shows you two techniques for scrambled eggs-the way his mother made them and the technique he learned in France. 24. Poached Eggs Chef Keller teaches you how simple it can be to poach an egg, resulting in an elegant and satisfying dish. 25. Omelet Elevate your breakfast by making a beautiful, silken, golden omelet that's finished with some classic ingredients. 26. Pasta: An Introduction While Chef Keller is trained in classical French cooking, he loves working with pasta. Learn how to transform five simple ingredients into versatile pasta dough. 27. Pasta Dough Learn Chef Keller's technique for determining when your pasta dough is done, which he learned from an Italian grandmother. 28. Agnolotti Chef Keller teaches you his technique for making a pasta that traps sauce in pockets. 29. Agnolotti with Peas and Bacon Learn how to make a composed dish with your agnolotti, complete with peas, bacon, and a delicate parmesan crisp. 30. Spaghetti alla Chitarra and Cavatelli Chef Keller demonstrates how to make two pasta shapes that take a little bit of patience but lead to gratifying results. 31. Spaghetti Aglio e Olio In this dish, the ingredients are simple, but the technique is refined. Use your homemade pasta, garlic, and olive oil, and finish with bottarga. 32. Fettuccine and Linguine Chef Keller shows you how to make these two classic pastas and how to make sure your pasta sheets stay pliable. 33. Gnocchi Learn how to make potato gnocchi. Chef Keller shows you how to feel and test it to see if you've worked with the correct amounts of ingredients. 34. Gnocchi with Pomodoro Pomodoro sauce is quick and fresh. Chef Keller teaches you his technique for making a perfect pomodoro that he learned from other world-renowned chefs. 35. Six Disciplines of Success Learn the six disciplines that were critical to Chef Keller's success early in his career, plus how you can apply them in your professional or home kitchen. 36. Essential Philosophies Chef Keller leaves you with his personal philosophy about cooking and his thoughts on the importance of nurturing the people you love through food. 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Introduction to Natural Language Processing in Python [2024] .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 14h 8m | 5.9 GB Instructor: Hoang Quy La pandas, numpy, seaborn, matplotlib, spaCy, Stop-word removal, Case folding, XGBOOST, TextBlob, Hierarchical Clustering What you'll learn pandas numpy seaborn matplotlib spaCy lemmatization tokenization Stop-word removal Case folding N-grams XGBOOST Word2vec skip-gram Bag of words Zipf's law TF-IDF Feature engineering WordCloud Hierarchical Clustering Sampling Removing Correlated features Dimensionality reduction Tree methods TextBlob keras Requirements Basic knowledge of Python programming Familiarity with data manipulation and analysis using Python libraries such as NumPy and pandas No prior experience in NLP is required, but a strong interest in language processing and machine learning is recommended. Description Natural Language Processing (NLP) is a rapidly evolving field at the intersection of linguistics, computer science, and artificial intelligence. This course provides a comprehensive introduction to NLP using the Python programming language, covering fundamental concepts, techniques, and tools for analyzing and processing human language data. Throughout the course, students will learn how to leverage Python libraries such as NLTK (Natural Language Toolkit), spaCy, and scikit-learn to perform various NLP tasks, including tokenization, stemming, lemmatization, part-of-speech tagging, named entity recognition, sentiment analysis, text classification, and language modeling. The course begins with an overview of basic NLP concepts and techniques, including text preprocessing, feature extraction, and vectorization. Students will learn how to clean and preprocess text data, convert text into numerical representations suitable for machine learning models, and visualize textual data using techniques such as word clouds and frequency distributions. Next, the course covers more advanced topics in NLP, including syntactic and semantic analysis, grammar parsing, and word embeddings. Students will explore techniques for analyzing the structure and meaning of sentences and documents, including dependency parsing, constituency parsing, and semantic role labeling. The course also introduces students to practical applications of NLP in various domains, such as information retrieval, question answering, machine translation, and chatbot development. Students will learn how to build and evaluate NLP models using real-world datasets and evaluate their performance using appropriate metrics and techniques. By the end of the course, students will have a solid understanding of the fundamental principles and techniques of NLP and the ability to apply them to solve real-world problems using Python. Whether you are a beginner or an experienced Python programmer, this course will provide you with the knowledge and skills you need to start working with natural language data and build intelligent NLP applications. Join us on a journey into the fascinating world of natural language processing and discover the endless possibilities for building intelligent applications that can understand and interact with human language data. Enroll now and take the first step towards mastering the art of NLP with Python! Who this course is for: Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning Any data analysts who want to level up in Machine Learning, Deep Learning and Artificial Intelligence. Any people who are not that comfortable with coding but who are interested in Machine Learning, Deep Learning, Artificial Intelligence and want to apply it easily on datasets. Data Scientists who want to take their AI Skills to the next level. AI experts who want to expand on the field of applications. Any people who want to create added value to their business by using powerful Machine Learning, Artificial Intelligence and Deep Learning tools. Any people who want to work in a Car company as a Data Scientist, Machine Learning, Deep Learning and Artificial Intelligence engineer. Any people who are not satisfied with their job and who want to become a Data Scientist. 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Machine Learning Mastery: From Data to Advanced Classifiers Last updated 2/2024 Duration: 2h53m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.52 GB Genre: eLearning | Language: English Mastering Machine Learning: From Data Import to Model Evaluation with Advanced Classifiers What you'll learn Importing and preparing data for analysis. Cleaning and preprocessing techniques for data integrity. Effective data visualization methods. Understanding and utilizing correlation heatmaps. Preprocessing steps for feature scaling and handling categorical variables. Proper data splitting for training and testing. Implementation of machine learning models: Support Vector Classifier (SVC), RandomForestClassifier, XGBClassifier, KNeighborsClassifier, LGBMClassifier Evaluation using Receiver Operator Characteristic (ROC) curve. Requirements Basic understanding of programming concepts and Python programming language. Familiarity with data manipulation using libraries such as Pandas and NumPy. Description Welcome to the ultimate Machine Learning course where you will embark on a transformative journey into the world of data and advanced modeling techniques. Whether you're a beginner or an experienced practitioner, this course will equip you with the essential skills to excel in the field of machine learning. In this comprehensive course, you will start by mastering the art of data handling. Learn how to import and clean data, ensuring that your datasets are pristine and ready for analysis. Discover powerful visualization techniques to gain deep insights and unravel hidden patterns within your data. Uncover the secrets of correlation analysis through captivating heatmap visualizations that reveal the intricate relationships between variables. Next, dive into the realm of preprocessing, where you will explore various methods to prepare your data for modeling. Discover how to handle missing values, scale features, and encode categorical variables, laying the foundation for accurate and reliable predictions. Data splitting is a critical step in the machine learning pipeline, and this course covers it extensively. Understand the importance of dividing your data into training and testing sets, ensuring optimal model performance and generalization. The heart of this course lies in advanced modeling techniques. You will master a diverse range of classifiers, including the powerful Support Vector Classifier (SVC), the versatile RandomForestClassifier, the gradient-boosted XGBClassifier, the intuitive KNeighborsClassifier, and the lightning-fast LGBMClassifier. Gain a deep understanding of their inner workings, learn how to fine-tune their hyperparameters, and witness their performance on real-world datasets. To evaluate the effectiveness of your models, we delve into the Receiver Operator Characteristic (ROC) curve analysis. Discover how to interpret this essential evaluation metric and make informed decisions about model performance. Throughout the course, you will work on hands-on projects, applying your knowledge to real-world datasets and honing your skills. Access to practical exercises and comprehensive resources will provide you with ample opportunities to reinforce your learning and solidify your understanding. By the end of this course, you will possess the expertise and confidence to tackle machine learning challenges head-on. Join us now and unlock the potential of machine learning to revolutionize your career and make a lasting impact in the world of data-driven insights. Enroll today and embark on your journey to becoming a Machine Learning master! Who this course is for: Beginner and intermediate Python programmers who want to expand their skills into the field of machine learning. Data analysts and data scientists who want to enhance their understanding and proficiency in machine learning techniques. Professionals working with data who are interested in applying machine learning algorithms to solve real-world problems. Students and researchers in computer science or related fields who want to gain practical knowledge and hands-on experience in machine learning. Anyone with a strong interest in machine learning and a desire to learn how to import, clean, visualize, preprocess, and model data using popular classifiers like SVC, RandomForestClassifier, XGBClassifier, KNeighborsClassifier, and LGBMClassifier. Individuals seeking to evaluate and compare the performance of machine learning models using the Receiver Operator Characteristic (ROC) curve. More Info AusFile https://ausfile.com/1jdpa7zu7sjj/Udemy_Machine_Learning_Mastery_From_Data_to_Advanced_Classifiers_2024-2.part1.rar https://ausfile.com/7ohne04tr4sp/Udemy_Machine_Learning_Mastery_From_Data_to_Advanced_Classifiers_2024-2.part2.rar https://ausfile.com/91gmk77rlwf8/Udemy_Machine_Learning_Mastery_From_Data_to_Advanced_Classifiers_2024-2.part3.rar RapidGator https://rapidgator.net/file/d7ff8433f2c2ba5dffe9614956938da2/Udemy_Machine_Learning_Mastery_From_Data_to_Advanced_Classifiers_2024-2.part1.rar https://rapidgator.net/file/c0d86b3a21e2ecf7d6537e587a2a0f5d/Udemy_Machine_Learning_Mastery_From_Data_to_Advanced_Classifiers_2024-2.part2.rar https://rapidgator.net/file/137fa5a351a83ea8cb67409ea814f4ba/Udemy_Machine_Learning_Mastery_From_Data_to_Advanced_Classifiers_2024-2.part3.rar TurboBit https://turbobit.net/469a0efcwuaf/Udemy_Machine_Learning_Mastery_From_Data_to_Advanced_Classifiers_2024-2.part1.rar.html https://turbobit.net/2bybjnkod4hj/Udemy_Machine_Learning_Mastery_From_Data_to_Advanced_Classifiers_2024-2.part2.rar.html https://turbobit.net/u5cl2mzv37vw/Udemy_Machine_Learning_Mastery_From_Data_to_Advanced_Classifiers_2024-2.part3.rar.html FileFactory

Data Science and Data Visualization with Python Published 2/2024 Duration: 4h | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.45 GB Genre: eLearning | Language: English Learn Data Science Data Analytics and Data Visualization with Python and the libraries What you'll learn Bar, Line, Stacked Charts Mathematical Plots Histograms, Pie Charts Grids, Subplots 3D Histograms, 3D Bars PIL, Images, Basemap CAPTCHA Images Logarithmic Plots, Spectrograms Gantt Charts, Error Bars Trefoil Knot Requirements Fundamental Python Programming Language (Optional) Description Course Overview: The course begins with a solid foundation in Python programming, ensuring that participants, regardless of their prior experience, can comfortably navigate the language. From there, we delve into the core concepts of data science, covering topics such as data manipulation, cleaning, and exploratory data analysis. Participants will gain hands-on experience using popular Python libraries like NumPy, Pandas, and Matplotlib. Key Learning Objectives: Python Fundamentals: Develop a strong command of Python programming, enabling participants to efficiently manipulate data and perform complex analyses. Data Manipulation and Analysis: Learn to clean and preprocess data effectively using Pandas, and perform advanced data manipulation tasks to extract meaningful insights. Exploratory Data Analysis (EDA): Master the art of exploring and summarizing data using statistical and visual methods, laying the groundwork for informed decision-making. Data Visualization: Dive into the world of data visualization with Matplotlib and Seaborn. Create stunning and informative visualizations that effectively communicate complex insights to diverse audiences. Machine Learning Foundations: Gain an understanding of the fundamentals of machine learning and explore how Python can be used to implement and deploy basic machine learning models. Real-world Applications: Apply acquired skills to real-world scenarios and datasets, ensuring that participants can tackle data-driven challenges in their professional environments. Why Python for Data Science and Visualization? Python has emerged as the language of choice for data scientists due to its versatility, ease of learning, and a rich ecosystem of libraries. Our course emphasizes Python's role in the entire data science workflow, from data cleaning to visualization, and provides participants with a holistic understanding of its capabilities. Who Should Enroll: This course is ideal for aspiring data scientists, analysts, researchers, and anyone eager to harness the power of Python for effective data analysis and visualization. Whether you are a beginner or have some experience in data science, this course will elevate your skills and empower you to make data-driven decisions confidently. Conclusion: Equip yourself with the essential skills in data science and data visualization that are in high demand across industries. Enroll in "Mastering Data Science and Data Visualization with Python" and embark on a journey towards becoming a proficient data practitioner, ready to tackle the challenges of the modern data landscape. Elevate your career prospects and unlock new opportunities with the knowledge and expertise gained in this comprehensive and practical course. Who this course is for: People who want to explore Data Science People who want to explore Data Visualization More Info AusFile https://ausfile.com/gq5dbvfbj0vg/Udemy_Data_Science_and_Data_Visualization_with_Python_2024-2.part1.rar https://ausfile.com/7wlxgowqoi34/Udemy_Data_Science_and_Data_Visualization_with_Python_2024-2.part2.rar RapidGator https://rapidgator.net/file/ced3fb612b0e96092a822401f7a1e3c5/Udemy_Data_Science_and_Data_Visualization_with_Python_2024-2.part1.rar https://rapidgator.net/file/8e39e6657c5d312c1f695e709ce7282e/Udemy_Data_Science_and_Data_Visualization_with_Python_2024-2.part2.rar TurboBit https://turbobit.net/f14tdeb7k5mc/Udemy_Data_Science_and_Data_Visualization_with_Python_2024-2.part1.rar.html https://turbobit.net/26bh7kpkhsep/Udemy_Data_Science_and_Data_Visualization_with_Python_2024-2.part2.rar.html FileFactory

5.41 GB | 15min 50s | mkv | 3840X2160 | 16:9 Genre:eLearning |Language:English Files Included : FileName :1-About Me OneDDL.mkv | Size: (370.57 MB) FileName :10-Mood Boards and Materials OneDDL.mkv | Size: (460.87 MB) FileName :11-Spatial Planning OneDDL.mkv | Size: (393.05 MB) FileName :12-Final Visualisations 1 OneDDL.mkv | Size: (142.12 MB) FileName :13-Final Visualisations 2 OneDDL.mkv | Size: (262.82 MB) FileName :14-Presenting Your Projects to Clients OneDDL.mkv | Size: (490.23 MB) FileName :15-Tips I Wish I Had Known OneDDL.mkv | Size: (354.5 MB) FileName :2-Influences OneDDL.mkv | Size: (233.23 MB) FileName :3-What Is Retail Design OneDDL.mkv | Size: (514.63 MB) FileName :4-Colour Psychology for Retail Spaces 1 OneDDL.mkv | Size: (464.25 MB) FileName :5-Colour Psychology for Retail Spaces 2 OneDDL.mkv | Size: (427.57 MB) FileName :6-Customer Experiences OneDDL.mkv | Size: (338.97 MB) FileName :7-The Brand DNA 1 OneDDL.mkv | Size: (287.71 MB) FileName :8-The Brand DNA 2 OneDDL.mkv | Size: (287.04 MB) FileName :9-Research and Inspiration for Your Project OneDDL.mkv | Size: (513.91 MB)] Screenshot AusFile https://ausfile.com/9119x1hoveg0/Domestika..Colorful.Retail.Space.Design.part1.rar https://ausfile.com/nc4w8k51tdpj/Domestika..Colorful.Retail.Space.Design.part2.rar https://ausfile.com/8u0yhwce72xb/Domestika..Colorful.Retail.Space.Design.part3.rar https://ausfile.com/y4ubajj3zz71/Domestika..Colorful.Retail.Space.Design.part4.rar https://ausfile.com/ynzq55ol2wct/Domestika..Colorful.Retail.Space.Design.part5.rar https://ausfile.com/0l2bycvqmejx/Domestika..Colorful.Retail.Space.Design.part6.rar RapidGator https://rapidgator.net/file/1a99c3306cfec479bbf88c3290fd77ea/Domestika..Colorful.Retail.Space.Design.part1.rar https://rapidgator.net/file/c8d21404b33abfa554da5be2d3e5158c/Domestika..Colorful.Retail.Space.Design.part2.rar https://rapidgator.net/file/9cc5479fd3c7d3fd4ac396df17e1fcdb/Domestika..Colorful.Retail.Space.Design.part3.rar https://rapidgator.net/file/037bfdf1493daf1916cd6ad8b610afd7/Domestika..Colorful.Retail.Space.Design.part4.rar https://rapidgator.net/file/a0327796d18991dae40e2c47ca370be9/Domestika..Colorful.Retail.Space.Design.part5.rar https://rapidgator.net/file/6abc3bf7284290989f99a804e2123199/Domestika..Colorful.Retail.Space.Design.part6.rar TurboBit https://turbobit.net/fwknm0hgua4b/Domestika..Colorful.Retail.Space.Design.part1.rar.html https://turbobit.net/vppwb9cenah9/Domestika..Colorful.Retail.Space.Design.part2.rar.html https://turbobit.net/v1ktnvcll412/Domestika..Colorful.Retail.Space.Design.part3.rar.html https://turbobit.net/mdhdopauwzwz/Domestika..Colorful.Retail.Space.Design.part4.rar.html https://turbobit.net/hi1psgo1l6p9/Domestika..Colorful.Retail.Space.Design.part5.rar.html https://turbobit.net/y7wz7xup9h0r/Domestika..Colorful.Retail.Space.Design.part6.rar.html

7.85 GB | 36min 31s | mp4 | 960X540 | 16:9 Genre:eLearning |Language:English Files Included : FileName :01 The Unknown Story of Ancient North America.mp4 | Size: (359.92 MB) FileName :02 The First Human Migrations to the Americas.mp4 | Size: (381.74 MB) FileName :03 Clovis Man America's First Culture.mp4 | Size: (405.26 MB) FileName :04 The Archaic Period Diversity Begins.mp4 | Size: (386.77 MB) FileName :05 Late Archaic Innovations.mp4 | Size: (348.16 MB) FileName :06 Poverty Point North America's First City.mp4 | Size: (317.35 MB) FileName :07 Medicine Wheels of the Great Plains.mp4 | Size: (300.4 MB) FileName :08 Adena Culture and the Early Woodlands Period.mp4 | Size: (292.29 MB) FileName :09 The Hopewell and Their Massive Earthworks.mp4 | Size: (350.18 MB) FileName :10 The Origins of Mississippian Culture.mp4 | Size: (331.33 MB) FileName :11 The Mississippian City of Cahokia.mp4 | Size: (336.5 MB) FileName :12 The Wider Mississippian World.mp4 | Size: (363.55 MB) FileName :13 De Soto Versus the Mississippians.mp4 | Size: (343.68 MB) FileName :14 The Ancient Southwest Discovering Diversity.mp4 | Size: (301.87 MB) FileName :15 The Basketmaker Culture.mp4 | Size: (273.45 MB) FileName :16 The Mogollon Culture.mp4 | Size: (293.85 MB) FileName :17 The Hohokam Masters of the Desert.mp4 | Size: (298.98 MB) FileName :18 The Ancestral Pueblo.mp4 | Size: (301.61 MB) FileName :19 The Chaco Phenomenon.mp4 | Size: (317.68 MB) FileName :20 Archaeoastronomy in the Ancient Southwest.mp4 | Size: (277.2 MB) FileName :21 The Periphery of the Ancient Southwest.mp4 | Size: (286.96 MB) FileName :22 Late Period Cultures of the Pacific Coast.mp4 | Size: (379.45 MB) FileName :23 Late Period Cultures of the Great Plains.mp4 | Size: (333.62 MB) FileName :24 The Iroquois and Algonquians before Contact.mp4 | Size: (406.23 MB)] Screenshot AusFile https://ausfile.com/0xp8mrqhuyj2/TTC.-.Ancient.Civilizations.of.North.America.part01.rar https://ausfile.com/6cy2gt0bsyzo/TTC.-.Ancient.Civilizations.of.North.America.part02.rar https://ausfile.com/vz3e8jy2e73t/TTC.-.Ancient.Civilizations.of.North.America.part03.rar https://ausfile.com/lgur1nuzclut/TTC.-.Ancient.Civilizations.of.North.America.part04.rar https://ausfile.com/tk5smic2rp0i/TTC.-.Ancient.Civilizations.of.North.America.part05.rar https://ausfile.com/rjc7sqr1afb7/TTC.-.Ancient.Civilizations.of.North.America.part06.rar https://ausfile.com/o7tu8ij939so/TTC.-.Ancient.Civilizations.of.North.America.part07.rar https://ausfile.com/e49txn9syo2l/TTC.-.Ancient.Civilizations.of.North.America.part08.rar https://ausfile.com/vlrdzhcze29e/TTC.-.Ancient.Civilizations.of.North.America.part09.rar RapidGator https://rapidgator.net/file/d9c6ee4f8cbb927583b102f1d5064b15/TTC.-.Ancient.Civilizations.of.North.America.part01.rar https://rapidgator.net/file/398bde8d0ff00a3edebc63f3d7f301c0/TTC.-.Ancient.Civilizations.of.North.America.part02.rar https://rapidgator.net/file/5c7097ef20b4f277504f6c7df61b25b4/TTC.-.Ancient.Civilizations.of.North.America.part03.rar https://rapidgator.net/file/0d999ea52b802c93477e85b80ef12339/TTC.-.Ancient.Civilizations.of.North.America.part04.rar https://rapidgator.net/file/8d96776b4cb03d8259f7c83faac3f90c/TTC.-.Ancient.Civilizations.of.North.America.part05.rar https://rapidgator.net/file/527fcdcfaea11261a2a41a5c4b862013/TTC.-.Ancient.Civilizations.of.North.America.part06.rar https://rapidgator.net/file/415275396569d865493a25ad4ee355bf/TTC.-.Ancient.Civilizations.of.North.America.part07.rar https://rapidgator.net/file/13c3793248263f0a90b93e99ee371940/TTC.-.Ancient.Civilizations.of.North.America.part08.rar https://rapidgator.net/file/de8c71390599782232ac1f082f49c81e/TTC.-.Ancient.Civilizations.of.North.America.part09.rar TurboBit https://turbobit.net/rba2v7o9391x/TTC.-.Ancient.Civilizations.of.North.America.part01.rar.html https://turbobit.net/pg9timc8bjad/TTC.-.Ancient.Civilizations.of.North.America.part02.rar.html https://turbobit.net/1v8ums652uny/TTC.-.Ancient.Civilizations.of.North.America.part03.rar.html https://turbobit.net/7edkf93yz7jf/TTC.-.Ancient.Civilizations.of.North.America.part04.rar.html https://turbobit.net/wy89z156325d/TTC.-.Ancient.Civilizations.of.North.America.part05.rar.html https://turbobit.net/hqwjbwtx8ar7/TTC.-.Ancient.Civilizations.of.North.America.part06.rar.html https://turbobit.net/cauet7hxc92w/TTC.-.Ancient.Civilizations.of.North.America.part07.rar.html https://turbobit.net/yeku11k747mu/TTC.-.Ancient.Civilizations.of.North.America.part08.rar.html https://turbobit.net/tps81cqm7huo/TTC.-.Ancient.Civilizations.of.North.America.part09.rar.html

1.69 GB | 6min 55s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : FileName :1 0101 Introduction.mp4 | Size: (14.03 MB) FileName :2 1 SW Advanced Drawing Training.zip | Size: (8.63 MB) FileName :1 0201 Create detail view.mp4 | Size: (34.31 MB) FileName :10 0210 Custom type cutting line for a non-circular part.mp4 | Size: (33.72 MB) FileName :11 0211 Half section option in section view tool.mp4 | Size: (8.33 MB) FileName :12 0212 Apply section view tool in assembly level.mp4 | Size: (38.08 MB) FileName :13 0213 Emphasize outline of cut faces in section view.mp4 | Size: (14.29 MB) FileName :14 0214 Model break view tool.mp4 | Size: (34.32 MB) FileName :15 0215 Removed Section view tool.mp4 | Size: (38.76 MB) FileName :2 0202 Custom profile in detail view.mp4 | Size: (26.69 MB) FileName :3 0203 Create broken view.mp4 | Size: (34.32 MB) FileName :4 0204 Advanced view using break and section view tool.mp4 | Size: (11.95 MB) FileName :5 0205 Crop view tool.mp4 | Size: (22.64 MB) FileName :6 0206 Broken-out section view.mp4 | Size: (45.8 MB) FileName :7 0207 Alternate position view.mp4 | Size: (46.99 MB) FileName :8 0208 Cutting line options in section view tool.mp4 | Size: (40.18 MB) FileName :9 0209 Custom type cutting line for a circular part.mp4 | Size: (43.08 MB) FileName :1 0301 Insert custom type view in the drawing.mp4 | Size: (23.57 MB) FileName :2 0302 3D drawing view tool.mp4 | Size: (19.96 MB) FileName :3 0303 Predefined view tool.mp4 | Size: (39.02 MB) FileName :4 0304 Add exploded view in a drawing sheet.mp4 | Size: (25.9 MB) FileName :5 0305 Convert view to sketch or block.mp4 | Size: (20.94 MB) FileName :6 0306 Mirror drawing view.mp4 | Size: (25.26 MB) FileName :7 0307 Scale hatch pattern.mp4 | Size: (16.47 MB) FileName :1 0401 Difference between driving and driven dimension.mp4 | Size: (13.14 MB) FileName :10 0410 Drawing rounding.mp4 | Size: (41.04 MB) FileName :11 0411 Angular dimension advanced capability.mp4 | Size: (20.2 MB) FileName :2 0402 Add driving dimension.mp4 | Size: (52.94 MB) FileName :3 0403 Add driven dimension.mp4 | Size: (17.35 MB) FileName :4 0404 Dimension properties.mp4 | Size: (43.04 MB) FileName :5 0405 Controlling dimension style.mp4 | Size: (39.07 MB) FileName :6 0406 Controlling dimension properties from one location.mp4 | Size: (25.47 MB) FileName :7 0407 Ordinate dimension.mp4 | Size: (27.05 MB) FileName :8 0408 Baseline dimension.mp4 | Size: (22.49 MB) FileName :9 0409 Chamfer dimension.mp4 | Size: (13.67 MB) FileName :1 0501 Add center-mark automatically.mp4 | Size: (27.16 MB) FileName :2 0502 Align balloon using magnetic line.mp4 | Size: (38.53 MB) FileName :3 0503 Add balloon using auto balloon.mp4 | Size: (42.67 MB) FileName :4 0504 Ballon asterisks and spline leader.mp4 | Size: (28.99 MB) FileName :1 0601 Apply datum feature symbol.mp4 | Size: (26.92 MB) FileName :2 0602 Add geometric tolerance frame in drawing.mp4 | Size: (40.55 MB) FileName :3 0603 Insert datum target point line and area.mp4 | Size: (40.48 MB) FileName :4 0604 Add surface finish.mp4 | Size: (25.11 MB) FileName :5 0605 Add weld symbol.mp4 | Size: (28.76 MB) FileName :6 0606 Area hatch or fill.mp4 | Size: (33.19 MB) FileName :1 0701 Add bill of material in a drawing sheet.mp4 | Size: (37.57 MB) FileName :2 0702 Important options and feature in bill of material table.mp4 | Size: (64.89 MB) FileName :3 0703 Modify BOM.mp4 | Size: (57.36 MB) FileName :4 0704 Hole table features.mp4 | Size: (44.9 MB) FileName :5 0705 Add and modify bend table.mp4 | Size: (36.46 MB) FileName :6 0706 Add revision table and symbol.mp4 | Size: (43.91 MB) FileName :7 0707 Revision cloud.mp4 | Size: (23.69 MB) FileName :8 0708 Insert general table.mp4 | Size: (20.16 MB) FileName :1 0801 Create layer.mp4 | Size: (33.57 MB) FileName :2 0802 Manage layer.mp4 | Size: (24.25 MB) FileName :1 0901 Understanding sheet properties.mp4 | Size: (23.71 MB)] Screenshot AusFile https://ausfile.com/toye34304ns4/SolidWorks.Advanced.Drawing.part1.rar https://ausfile.com/kcjdebbvioc9/SolidWorks.Advanced.Drawing.part2.rar RapidGator https://rapidgator.net/file/5bab00a57248ea97a87fa51dc2979d74/SolidWorks.Advanced.Drawing.part1.rar https://rapidgator.net/file/762e763e29d7666c41130e2d06c9cf77/SolidWorks.Advanced.Drawing.part2.rar TurboBit https://turbobit.net/0lbt8aoritkm/SolidWorks.Advanced.Drawing.part1.rar.html https://turbobit.net/8ad7vjbjqo8y/SolidWorks.Advanced.Drawing.part2.rar.html

Interior Design with Blender: Build an Advanced 3D Scene .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 7m | 247 MB Instructor: Derek Elliott When 3D designer and animator Derek Elliott began exploring Blender, he didn't realize it would transform his entire career. Learning to model and animate within Blender opened up a world of new opportunities-including creating product animations and investment-seeking presentations for companies all around the world. In this course, Derek shares the power of Blender and shows you how to create dynamic 3D renderings. Learn how to leverage more advanced 3D-modeling techniques to create dynamic and compelling interior scenes. From cartoon animators looking to build a world for their characters to interior animators who want to bring their 2D sketches to life, this course is an ideal fit for anyone looking to take their 3D designs to the next level. More Info AusFile https://ausfile.com/q57paxadiwn7/Skillshare.-.Interior.Design.With.Blender.Build.An.Advanced.3D.Scene.2023.BOOKWARE-LERNSTUF.rar RapidGator https://rapidgator.net/file/c8d96b9556e12db6afbd11312eb0f685/Skillshare.-.Interior.Design.With.Blender.Build.An.Advanced.3D.Scene.2023.BOOKWARE-LERNSTUF.rar TurboBit https://turbobit.net/7gahomvaxahr/Skillshare.-.Interior.Design.With.Blender.Build.An.Advanced.3D.Scene.2023.BOOKWARE-LERNSTUF.rar.html FileFactory

6.88 GB | 31min 55s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Course Preview and Welcome.mp4 (54.01 MB) 10 Avoid using Bind Event in Widgets!.mp4 (84.12 MB) 12 Player HUD.mp4 (37.51 MB) 13 Player Input.mp4 (59.73 MB) 14 Player Health ( Custom Events ).mp4 (202.76 MB) 15 Player Health ( Functions ).mp4 (148.97 MB) 16 Player Health ( Blueprint Interface ).mp4 (167.74 MB) 17 Heal Damage Player using one Blueprint.mp4 (106.58 MB) 18 DamageHeal Player Overtime ( Timers ).mp4 (409.54 MB) 19 Blueprints Cleanup.mp4 (96.58 MB) 2 Creating a New Project.mp4 (8.59 MB) 20 WalkSprint ( Macros ).mp4 (168.58 MB) 21 Player Dead.mp4 (255.34 MB) 22 Dash + Cooldown HUD.mp4 (427.84 MB) 24 Blink Ability.mp4 (226.62 MB) 25 Checking Assets File Size.mp4 (73.85 MB) 26 Time SlowStop + Cooldown.mp4 (184.67 MB) 27 Player Projectile.mp4 (307.54 MB) 28 Destroy Objects With Projectile.mp4 (242.18 MB) 3 Download Free Assets.mp4 (15.86 MB) 30 Game Timer.mp4 (236.46 MB) 31 Pickup Items ( Key ).mp4 (345.73 MB) 32 Creating Sliding Doors.mp4 (296.48 MB) 33 Conditional Door ( Key Needed ).mp4 (122.24 MB) 34 Moving Platforms.mp4 (187.67 MB) 35 Portals ( Teleport Player ).mp4 (239.63 MB) 36 Enemy Projectile + AOE Damage.mp4 (176.53 MB) 37 Enemy Tower.mp4 (328.97 MB) 38 Scoring System ( Pickups ).mp4 (330 MB) 39 Jump Launch Pads.mp4 (294.31 MB) 40 Treasure Chest + Items Drop.mp4 (502.25 MB) 41 Project Launcher.mp4 (124.26 MB) 5 Avoid using Cast To node!.mp4 (249.61 MB) 6 Avoid using Event Tick node!.mp4 (94.53 MB) 7 Why Delay node is bad.mp4 (33.42 MB) 8 Don't use Delay node - Use Timers Instead.mp4 (174.11 MB) 9 Avoid using Get All Actors of Class node!.mp4 (32.06 MB)] Screenshot AusFile https://ausfile.com/hbll797xkts1 https://ausfile.com/0smlxgxqmkjv https://ausfile.com/jhyotiv4miin https://ausfile.com/6fwr0xetdkjg https://ausfile.com/utsp241vzn4s https://ausfile.com/t6nq5r8gswll https://ausfile.com/yg4m0wobbhnv https://ausfile.com/blt0zqjl9a03 RapidGator https://rapidgator.net/file/bfe069dace5636d9d228a9d369c0611b/ https://rapidgator.net/file/53441c51161bf1c69c623a954cf36a56/ https://rapidgator.net/file/6fdf1f08637c6b0b5283ce5f019d9a16/ https://rapidgator.net/file/d71f8683bdca5b06e1a236e4d49fa38e/ https://rapidgator.net/file/44a0f7b525512c65e9860017e4ff67d3/ https://rapidgator.net/file/5a15b3559a4508af4cdb02ee5041aa67/ https://rapidgator.net/file/1752c348a5fba9bca1339d1fc3ae5858/ https://rapidgator.net/file/dfe02468b81613c00fa602feb9fce6b6/ TurboBit https://turbobit.net/76gyfnipqo03.html https://turbobit.net/cstdmkh1jsep.html https://turbobit.net/aara1ounzdzb.html https://turbobit.net/dw9hm8o86r2h.html https://turbobit.net/tsfvjtrj6opx.html https://turbobit.net/qlgm8og60ogh.html https://turbobit.net/2b889jv092ex.html https://turbobit.net/8iffuomxhubl.html

779.11 MB | 9min 26s | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 1 Introduction.mp4 (18.04 MB) 10 Visual Scripting - Variables.mp4 (55.41 MB) 11 Visual Scripting - Conditions.mp4 (67.86 MB) 12 Visual Scripting - Functions.mp4 (99.03 MB) 4 Installing Unreal Engine.mp4 (26.23 MB) 5 Editor Overview.mp4 (91.3 MB) 6 Location, Rotation, Scale.mp4 (131.29 MB) 7 Blueprints.mp4 (81.23 MB) 8 Creating a Game Mode.mp4 (54.41 MB) 9 Visual Scripting - Intro.mp4 (95.43 MB)] Screenshot AusFile https://ausfile.com/ucj1457q3n26 RapidGator https://rapidgator.net/file/9ebec76382d3affb31034b4d0e16720c/ TurboBit https://turbobit.net/nz1r2qvefjl0.html