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  1. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 12.5 GB | Duration: 41h 16m Learn Python, Tensorflow, Deep Learning, Regression, Classification, Neural Networks, Artificial Intelligence & more! What you'll learn You will learn how to program using Python through practical projects Use data science algorithms to analyse data in real life projects such as spam classification and image recognition Build a portfolio of data science projects to apply for jobs in the industry Understand how to use the latest tools in data science, including Tensorflow, MatDescriptionlib, Numpy and many more Create your own neural networks and understand how to use them to perform deep learning Understand and apply data visualisation techniques to explore large datasets Requirements No programming experience needed! I'll teach you everything you need to know. No statistics knowledge required! I'll teach you everything you need to know. No calculus knowledge required! as long as you've done some high school maths, I'll take you step by step through the difficult parts. Also, no paid software required - all projects use free and open source software All you need is Mac or PC computer with access to the internet Description Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science. At over 40+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Here's why The course is taught by the lead instructor at the App Brewery, London's leading in-person programming bootcamp. In the course, you'll be learning the latest tools and technologies that are used by data scientists at Google, Amazon, or Netflix. This course doesn't cut any corners, there are beautiful animated explanation videos and real-world projects to build. The curriculum was developed over a period of three years together with industry professionals, researchers and student testing and feedback. To date, we've taught over 200,000 students how to code and many have gone on to change their lives by getting jobs in the industry or starting their own tech startup. You'll save yourself over $12,000 by enrolling, but get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming bootcamp. We'll take you step-by-step through video tutorials and teach you everything you need to know to succeed as a data scientist and machine learning professional. The course includes over 40+ hours of HD video tutorials and builds your programming knowledge while solving real-world problems. In the curriculum, we cover a large number of important data science and machine learning topics, such as Data Cleaning and Pre-Processing Data Exploration and Visualisation Linear Regression Multivariable Regression Optimisation Algorithms and Gradient Descent Naive Bayes Classification Descriptive Statistics and Probability Theory Neural Networks and Deep Learning Model Evaluation and Analysis Serving a Tensorflow Model Throughout the course, we cover all the tools used by data scientists and machine learning experts, including Python 3 Tensorflow Pandas Numpy Scikit Learn Keras MatDescriptionlib Seaborn SciPy SymPy By the end of this course, you will be fluently programming in Python and be ready to tackle any data science project. We'll be covering all of these Python programming concepts Data Types and Variables String Manipulation Functions Objects Lists, Tuples and Dictionaries Loops and Iterators Conditionals and Control Flow Generator Functions Context Managers and Name Scoping Error Handling By working through real-world projects you get to understand the entire workflow of a data scientist which is incredibly valuable to a potential employer. Sign up today, and look forward to 178+ HD Video Lectures 30+ Code Challenges and Exercises Fully Fledged Data Science and Machine Learning Projects Programming Resources and Cheatsheets Our best selling 12 Rules to Learn to Code eBook $12,000+ data science & machine learning bootcamp course materials and curriculum Don't just take my word for it, check out what existing students have to say about my courses "One of the best courses I have taken. Everything is explained well, concepts are not glossed over. There is reinforcement in the challenges that helps solidify understanding. I'm only half way through but I feel like it is some of the best money I've ever spent." -Robert Vance "I've spent £27,000 on University..... Save some money and buy any course available by Philipp! Great stuff guys." -Terry Woodward "This course is amazingly immersive and quite all-inclusive from end-to-end to develop an app! Also gives practicality to apply the lesson straight away and full of fun with bunch of sense of humor, so it's not boring to follow throughout the whole course. Keep up the good work guys!" - Marvin Septianus "Great going so far. Like the idea of the quizzes to challenge us as we go along. Explanations are clear and easy to follow" -Lenox James "Very good explained course. The tasks and challenges are fun to do learn an do! Would recommend it a thousand times." -Andres Ariza "I enjoy the step by step method they introduce the topics. Anyone with an interest in programming would be able to follow and program" -Isaac Barnor "I am learning so much with this course; certainly beats reading older Android Ebooks that are so far out of date; Phillippe is so easy any understandable to learn from. Great Course have recommended to a few people." -Dale Barnes "This course has been amazing. Thanks for all the info. I'll definitely try to put this in use. :)" -Devanshika Ghosh "Great Narration and explanations. Very interactive lectures which make me keep looking forward to the next tutorial" -Bimal Becks "English is not my native language but in this video, Phillip has great pronunciation so I don't have problem even without subtitles :)" -Dreamerx85 "Clear, precise and easy to follow instructions & explanations!" -Andreea Andrei "An incredible course in a succinct, well-thought-out, easy to understand package. I wish I had purchased this course first." -Ian REMEMBER... I'm so confident that you'll love this course that we're offering a FULL money back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risks and EVERYTHING to gain. So what are you waiting for? Click the buy now button and join the world's best data science and machine learning course. Who this course is for If you want to learn to code through building fun and useful projects, then take this course. If you want to solve real-life problems using data. If you want to learn how to build machine learning algorithms such as deep learning and neural networks. If you are a seasoned programmer, take this course to get up to speed quickly with the workflow of a data scientist. If you want to take ONE COURSE and learn everything you need to know about data science and machine learning then take this course. 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  2. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.19 GB | Duration: 19h 19m Basic Algorithms and Data Structures: AVL tree, Binary Search Trees, Arrays, B Trees, Linked Lists, Stacks and HashMaps What you'll learn grasp the fundamentals of algorithms and data structures detect non-optimal code snippets learn about arrays and linked lists learn about stacks and queues learn about binary search trees learn about balanced binary search trees such as AVL trees or red-black trees learn about priority queues and heaps learn about B-trees and external memory learn about hashing and hash tables Requirements Basic Java (loops and some OOP) Description This course is about data structures and algorithms. We are going to implement the problems in Java. The course takes approximately 14 hours to complete. It is highly recommended to type out these data structures several times on your own in order to get a good grasp of it. Section 1 data structures and abstract data types Section 2 - Arrays what are arrays what is random access and how to indexes Section 3 - Linked Lists linked lists and doubly linked lists linked list related interview questions Section 2 - Stacks and Queues what are stacks and queues heap memory and stack memory visualizing stack memory Section 3 - Binary Search Trees (BSTs) what are tree data structures? how to achieve O(logN) logarithmic running time? binary search trees Section 4 - AVL Trees what is the problem with binary search trees? balanced search trees: AVL trees rotations Section 5 - Red-Black Trees what are red-black trees? what is recovering operation? comparing AVL trees and red-black trees Section 6 - Splay Trees splay trees and caches achieve O(1) running time for getting the recently visited item Section 7 - Heaps and Priority Queues what are priority queues? what is heap data structure? how to do sorting in O(NlogN) with heaps? Section 8 - B-Trees external memory and the main memory (RAM) B-trees and their applications in memory B* trees and B+ trees Section 9 - Hashing and HashMaps what are hashing and hashtables (hashmaps) what are hash-functions how to achieve O(1) running time complexity Section 10 - Sorting Algorithms basic sorting algorithms bubble sort and selection sort insertion sort and shell sort quicksort and merge sort comparison based and non-comparison based approaches string sorting algorithms bucket sort and radix sort Section 11 (BONUS) what is LRU cache LRU cache implementation Section 12 (BONUS) Fenwick trees (binary indexed trees) binary indexed tree implementation In each chapter you will learn about the theoretical background of each algorithm or data structure, then we are going to write the code on a step by step basis in Eclipse, Java. Most of the advanced algorithms relies heavily on these topics so it is definitely worth understanding the basics. These principles can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market. Thanks for joining the course, let's get started! Who this course is for This course is meant for everyone from scientists to software developers who want to get closer to algorithmic thinking in the main Homepage https://www.udemy.com/course/algorithms-and-data-structures/ https://hot4share.com/bpjc2kqpzfv7/jb92w.A.D.S.i.J.1.I.Q.part1.rar.html https://hot4share.com/zbobwn2rzcsj/jb92w.A.D.S.i.J.1.I.Q.part2.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/425e9236Ee2b3600/jb92w.A.D.S.i.J.1.I.Q.part1.rar https://uploadgig.com/file/download/b5b6e2Fc25255bBc/jb92w.A.D.S.i.J.1.I.Q.part2.rar Download ( Rapidgator ) https://rapidgator.net/file/7462ae4077c7eb158681b544785c238c/jb92w.A.D.S.i.J.1.I.Q.part1.rar.html https://rapidgator.net/file/4f306b8635625efbf6c5b1f9dcc2634a/jb92w.A.D.S.i.J.1.I.Q.part2.rar.html Download ( NitroFlare ) http://nitro.download/view/A99CD8F7C315197/jb92w.A.D.S.i.J.1.I.Q.part1.rar http://nitro.download/view/0689146569DE26B/jb92w.A.D.S.i.J.1.I.Q.part2.rar Links are Interchangeable - No Password - Single Extraction
  3. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 39 lectures (2h 55m) | Size: 1.06 GB Learn product management and UX centric concepts in machine learning and data science from animals and Python notebooks! What you'll learn How to product manage and roadmap your A.I. project Basics of ML in easy doggy and kitty format :D How best to interact and extract key information from machine learning engineers How to research your A.I. project for usability and product / market fit UX design practices for your A.I. project Exposure to simple coding notebooks for deep learning and linear regression Requirements None - designed for non-technical people. Description In this training workshop you will learn the following 1)The basics of machine learning, use cases and major success metrics easily explained using concrete examples of cute dogs and cats and exercises designed by a trained educational psychologist. No unnecessary or confusing math equations or algorithms, just the core concepts! 2)Pre-made coding notebooks and exercises to reinforce ML concepts that teach you the fundamental concepts without having to learn any code whatsoever! 3)User experience and user research tips to maximize the design of your potential A.I. project and efficiently de-risk your product ideas at many stages of development! 4)The best questions to ask your ML engineer when sizing and planning a project about business goals, data acquisition, tradeoffs, resources and risk! 5)A handy product roadmap for scoping out your machine learning project. 6)Fun discussion board exercises to help reinforce concepts throughout the course and see what other students are creating such as: thinking about ML use cases, mapping out the data science loop for your project, success metrics for your project, UX considerations, making a research roadmap for your project, making a product roadmap and UX mockup for your project. 7)A user research roadmap and chart to help you select the best methods to research your project. Please note: for this course you will need a google account to access google classroom and to utilize google collab coding notebooks! Who this course is for Product managers UX designers User researchers Business executives Marketing Professionals Engineers who want to learn about the product / business side of ML Venture Capitalists / Investors who want to understand the A.I. domain better Homepage https://www.udemy.com/course/product-focused-ai/ https://hot4share.com/bk8u21zo4qn5/o8mgs.M.L..D.S.P.M.M.E.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/275847781d745bd5/o8mgs.M.L..D.S.P.M.M.E.rar Download ( Rapidgator ) https://rapidgator.net/file/a090f192d2886f940245d35b102cd3ba/o8mgs.M.L..D.S.P.M.M.E.rar.html Download ( NitroFlare ) http://nitro.download/view/ECF7D84D9FE42FC/o8mgs.M.L..D.S.P.M.M.E.rar Links are Interchangeable - No Password - Single Extraction
  4. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 58m | Size: 130 MB Data is everywhere. It's fundamental to your business process. It allows you to make sound, well-informed decisions driven by evidence, not just conjecture. But how should you represent it? The answer depends, especially when you're working with stakeholders who don't have a technical background. That's where Dash comes in. It's a powerful and easy-to-use data visualization tool that can help you make optimal strategic decisions. In this course, instructor Robin Andrews gives you an overview of everything you need to know to get started using Dash with Python. Discover how to build powerful and attractive data visualizations. Learn about creating Descriptions, styling applications, and adding user interactivity to cultivate more responsive, data-driven relationships. Robin explores strategies to help you get the most out of the Dash experience, and shows you how to deploy your Dash apps to the cloud using Heroku. Homepage https://www.linkedin.com/learning/data-visualization-in-python-with-dash https://hot4share.com/dxdsfgumwa4i/kx183.D.V.i.P.w.D.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/4E29bef14157a520/kx183.D.V.i.P.w.D.rar Download ( Rapidgator ) https://rapidgator.net/file/f3259ca6399c3e2f132c40153cd72086/kx183.D.V.i.P.w.D.rar.html Download ( NitroFlare ) http://nitro.download/view/368CB2B63C1A552/kx183.D.V.i.P.w.D.rar Links are Interchangeable - No Password - Single Extraction
  5. AnyMP4 Data Recovery 1.1.26 | macOS | 26 mb AnyMP4 Data Recovery is the professional and safe data recovery software. It can help you restores almost all lost files like photos, documents, emails, audio, videos and more from computer drive, flash drive, memory card/stick on mobile phone or camera easily. Whether you lost files for deletion, format, etc., or your data are gone for the system crash, virus attack, etc., you can also use this powerful data retrieval program to help you. Recover various data from computer and flash media drive/card * Recover all deleted files like photos, documents, emails, etc. * Restore lost data like videos, audio and other system files. * Undelete files from computer, flash drive, memory card/stick, etc. * Data loss for deletion/format/system crash, etc. can be restored. * Rescue data from disk accident, re-partition, system re-installation, and more. * Fast and reliable to scan and recover lost data on your computer. Compatibility:macOS 10.10 or later Homepage:https://www.anymp4.com https://hot4share.com/h0h5wyv8r3i9/f5hag.AnyMP4.Data.Recovery.1.1.26.rar.html Download ( Rapidgator ) https://rapidgator.net/file/debadd52deee8d766089b7367fc9f0f7/f5hag.AnyMP4.Data.Recovery.1.1.26.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/ffaD237418F42c66/f5hag.AnyMP4.Data.Recovery.1.1.26.rar Download ( NitroFlare ) http://nitro.download/view/D486D84FDFEA172/f5hag.AnyMP4.Data.Recovery.1.1.26.rar
  6. Easy Data Transform 1.24.0 | macOS | 41 mb Transform your Excel and CSV files without programming with Easy Data Transform. Features: Clean, re-format, merge, dedupe, filter and analyze table and list data on your Mac. Transform your data interactively, step by step using 36 built-in transforms. Transforms thousands of rows in the blink of an eye. No need to upload your sensitive data to a third party server. Compatibility:macOS 10.10 or later Homepage:https://www.easydatatransform.com https://hot4share.com/pj57m9whxnsd/ey6wa.Easy.Data.Transform.1.24.0.rar.html Download ( Rapidgator ) https://rapidgator.net/file/1b8f025ff62dec58e9b88d03fb9300c2/ey6wa.Easy.Data.Transform.1.24.0.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/031B2c5eda6E6d64/ey6wa.Easy.Data.Transform.1.24.0.rar Download ( NitroFlare ) http://nitro.download/view/DF53F5569CAE437/ey6wa.Easy.Data.Transform.1.24.0.rar
  7. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 37 lectures (1h 45m) | Size: 364.7 MB Learn Data Extraction, Labelling with Training using Spacy & build a solution with Python, Pandas, OCR and NER concepts What you'll learn Understand data extraction from different types of documents such as PDF, Word and Scanned Images Learn how to use Tesseract and PyTesseract for recognition of data from images Learn how to use Spacy efficiently for labelling along with training on custom data for NER Use Pandas to convert extracted data to a CSV format Requirements Basic Python Programming knowledge Description Gain a competitive edge in the world of Computer Vision through this course by learning how to do Smart Data Extraction from Pdf and Images. The technology landscape of world has brought in cognitive skills at the forefront where major emphasis is on intelligent data extraction. This becomes more complex due to the huge variety of input documents such as pdf document with structured data, scanned pdf document and word document. This course aims to solve this challenging problem by helping you to understand these various formats and then empower you to do smart data extraction using Python, Pandas, OCR, Tesseract, PyTesseract, OpenCV, Spacy and NER concepts. The course will guide you on how you can build a common pipeline irrespective of multiple data formats through a structured workflow wherein you will learn Data Extraction using OCR, Data Labelling with Spacy along with Training a model on custom NER data and validating the model through prediction. Towards the end, we will combine all the learnings to build a Smart Text Extractor application. The course has been designed to explain text data extraction workflow in depth by first explaining the technology concepts and then their implementation through code. Detailed code walkthrough has been included for all the code implementations and 12 supporting source code files are available for download. In addition to this, the quiz at the end of course helps you to assess your knowledge and identify the improvement areas. Enroll in this course and enhance your cognitive capabilities. Here are just few of the topics we will be learning · Understanding basics of Data Conversion · Conversion and Extraction from structured PDF document · Conversion of Scanned PDF document to text · Conversion and Extraction of data from word document to text · Common Format for Pipeline for all types of document · Image Reading using PIL and OpenCV · Tesseract for Extraction · Tesseract Page Segmentation Mode (PSM) and OCR Engine Mode (OEM) · Extraction of Data from Image · PyTesseract Operations for conversion of documents to readable text · Named Entity Recognition (NER) · Spacy Entity Types · IOB Format · Labelling with Spacy for NER · Training Spacy model on custom data using NER · Predicting using Trained Spacy Model · Pandas · Convert Data to CSV Output using DataFrame Who this course is for Python Developer who want to learn data extraction using OCR NLP and NER Enthusiast who are keen to explore Text Labelling Computer Vision professionals OCR Engineer Homepage https://www.udemy.com/course/ocr-for-smart-data-extraction-from-pdf-and-images-with-ner/ S https://hot4share.com/xn6weig937bw/9snur.O.f.S.D.E.f.P.a.I.w.N.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/FBA8eeE392f02934/9snur.O.f.S.D.E.f.P.a.I.w.N.rar Download ( Rapidgator ) https://rapidgator.net/file/8d9c82e6b7b0ef640afcdc1878102a9c/9snur.O.f.S.D.E.f.P.a.I.w.N.rar.html Download ( NitroFlare ) http://nitro.download/view/C4D3B10B3DA5611/9snur.O.f.S.D.E.f.P.a.I.w.N.rar Links are Interchangeable - No Password - Single Extraction
  8. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 163 lectures (9h 20m) | Size: 4 GB Become SQL WIZARD for Data Science, Machine Learning, Business Analysis, Data Analysis, etc What you'll learn Master the most essential SQL skills for Data Science Write complex SQL statements to query the database and gain critical insight on data Learn how to professionally query large industry database How databases are organized Learn how to creating simple to complex tables and databases in SQL Learn how to build applications using CRUD functions Automating data with triggers Using aggregate functions and transactions Lear SQLite and Postgresql Requirements This is a Begginer to Advanced level course and no experience or prerequisite needed Just a passion to learn is enough to get started !! Description This course will make you super confident to query databases without any fear. By the end of this course, you will be able to use SQL to fetch data and draw insights from it like a genius. You will also learn the professional ways of reporting insights with SQL. The course is taught by 4 experience Data Scientist, Data Analyst, Machine Learning Engineer and a Business Analyst in top MNC like IBM. This course aims to turn you to an SQL Wizard that industries will sort after. We have divided this course into three main parts SQL Fundamentals For Data Science SQL Data Reporting And Analysis Intermediate SQL For Data Science Advanced SQL For Data Science SQL Tips and Tricks for Data Science Each of these three parts is taught by one specialized professional with insights and techniques to make you an SQL Wizard. Most importantly, there are several Exercises and hands-on practice to help you practice and get more confident. You will also have access to download all the files used in this course. The instructors in this have over 15 years of experience and they teach you to understand how things are done in the real world when using SQL to work with data. If you want to become an industry-ready SQL Wizard then enroll in this course. Who this course is for Anyone who wants to break into the data analyst, data scientist , machine learning or business analyst role Anyone interested in becoming an SQL query wizard Homepage https://www.udemy.com/course/master-sql-for-data-science-and-analytics/ https://hot4share.com/yfl5i6n77p0g/j6o27.M.S.F.D.S..2022.part1.rar.html https://hot4share.com/nm0n7ktq8ug5/j6o27.M.S.F.D.S..2022.part2.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/aD93086Dac0Be8dc/j6o27.M.S.F.D.S..2022.part1.rar https://uploadgig.com/file/download/de1F9f0d7e280a15/j6o27.M.S.F.D.S..2022.part2.rar Download ( Rapidgator ) https://rapidgator.net/file/399078e52915bc8722615af4f797ef05/j6o27.M.S.F.D.S..2022.part1.rar.html https://rapidgator.net/file/2486f8f0997be7949914f04b16f86ee0/j6o27.M.S.F.D.S..2022.part2.rar.html Download ( NitroFlare ) http://nitro.download/view/3177EAADF58C414/j6o27.M.S.F.D.S..2022.part1.rar http://nitro.download/view/7A84E8A56734172/j6o27.M.S.F.D.S..2022.part2.rar Links are Interchangeable - No Password - Single Extraction
  9. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 63 Lessons (4h 30m) | Size: 1.14 GB Cybersecurity is not only about preventing data breaches and hunting for attackers, it also involves many aspects of system and data privacy. With more than 4 hours of video training, System and Privacy Data Protection LiveLessons provides learners with an understanding of how to protect and store existing data, as well as understand that data confidentiality and business impacts are critical to data protection. In this course, the learner will examine multiple aspects of system privacy and data protection ranging from basic concepts to tools that are commonly used by data practitioners. System and Privacy Data Protection LiveLessons is taught by expert trainer, author, and cybersecurity expert Aamir Lakhani using hands-on demos, in-depth discussions, and lightboard explanations. This course will cover the best practices cybersecurity fundamentals in a way that is easy to access and implement in real world situations. Topics include Data Privacy and Protection Risk Mitigation Importance of Policies, Procedures, and Controls Analyzing Logs and Impact Analysis SIEMs and Query Writing E-Mail Analysis Automation About the Instructor Aamir Lakhani is a leading senior security strategist. He is responsible for providing IT security solutions to major enterprises and government organizations. Mr. Lakhani creates technical security strategies and leads security implementation projects for Fortune 500 companies. Industries of focus include healthcare providers, educational institutions, financial institutions, and government organizations. Aamir has designed offensive counter-defense measures for the Department of Defense and national intelligence agencies. He has also assisted organizations with safeguarding IT and physical environments from attacks perpetrated by underground cybercriminal groups. His areas of expertise include cyber defense, mobile application threats, malware management, Advanced Persistent Threat (APT) research, and investigations relating to the Internet's dark security movement. Skill Level Beginner Learn How To Manage your security and privacy Protect and store existing data Use common tools to analyze and store logs Conduct impact analysis and risk mitigation Who Should Take This Course Cybersecurity Professionals Anyone interested in learning cyber security fundamentals Course Requirements There is no required prerequisite https://hot4share.com/2dl9sruf51yq/j96lb.L..S.a.P.D.P.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/578ad0e8648fA51f/j96lb.L..S.a.P.D.P.rar Download ( Rapidgator ) https://rapidgator.net/file/89e709125cec17c13b46f6120d8ca807/j96lb.L..S.a.P.D.P.rar.html Download ( NitroFlare ) http://nitro.download/view/4539DA3ABB2B807/j96lb.L..S.a.P.D.P.rar Links are Interchangeable - No Password - Single Extraction
  10. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 11 lectures (2h 21m) | Size: 973.6 MB Extract Table Data with Selenium - Beautiful Soup - API Scraping What you'll learn Web Scraping Selenium Beautiful Soup Data Extraction Web Scraping for Data Science PostgreSQL Json Requirements Basic understanding of Python Programming Description In this Project we will scrape data from Tables, using three different approaches : Selenium - Beautiful Soup and API Scraping. Especially for people who work with data it is important to be able to create own datasets. Often we rely on datasets from someone else. This course should show all data enthusiasts how to scrape and store data in Excel Files, CSV, JSON and in the PostgreSQL database. The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course. After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q&A - Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself. What you'll learn Web Scraping Output Data in Excel Output Data in CSV Output Data in JSON Output Data in PostgreSQL Data Extraction Web Scraping for Data Science Data Mining Data Scraping Are there any course requirements or prerequisites? Basic understanding of Python Programming Who this course is for Everybody who is interested in Web Scraping, for example Data Scientists Professionals who want to create their own dataset without being dependent on some else Are there any course requirements or prerequisites? basic understanding of Python programming Who this course is for Data Enthusiasts who want to create their own datasets Disclaimer : I teach web scraping as a tutor for educational purposes. That's it. The first rule of scraping the web is: do not harm a certain website. The second rule of web crawling is: do NOT harm a certain website. Who this course is for Everybody who is interested in Web Scraping, for example Data Scientists Homepage https://www.udemy.com/course/web-scraping-table-data-with-python-3-approaches/ https://hot4share.com/z8ys52s3v72n/lkd6x.W.S.T.D.w.P..3.A.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/5b896CB75407A272/lkd6x.W.S.T.D.w.P..3.A.rar Download ( Rapidgator ) https://rapidgator.net/file/26de8cbf8f7713702c24283092c3e885/lkd6x.W.S.T.D.w.P..3.A.rar.html Download ( NitroFlare ) http://nitro.download/view/51CD1CB3DFAFA46/lkd6x.W.S.T.D.w.P..3.A.rar Links are Interchangeable - No Password - Single Extraction
  11. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.49 GB | Duration: 5h 14m Learn the critical elements of Data Science, from visualization to databases to Python and more, in just 6 weeks! What you'll learn The entire Data Science process Cloud concepts & application in Data Science Database concepts Statistics fundamentals as needed in Data Science Visualizations for data mining and presentation An overview on Statistical Learning The essentials of Machine Learning More advanced Python to apply to Data Science Requirements Only a passion to build a successful Data Science career Description The demand for Data Scientists is immense. In this course, you'll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself. The #1 goal of this course is clear: give you all the skills you need to be a Data Scientist who could start the job tomorrow... within 6 weeks. With so much ground to cover, we've stripped out the fluff and geared the lessons to focus 100% on preparing you as a Data Scientist. You'll discover * The structured path for rapidly acquiring Data Science expertise * How to build your ability in statistics to help interpret and analyse data more effectively * How to perform visualizations using one of the industry's most popular tools * How to apply machine learning algorithms with Python to solve real world problems * Why the cloud is important for Data Scientists and how to use it Along with much more. You'll pick up all the core concepts that veteran Data Scientists understand intimately. Use common industry-wide tools like SQL, Tableau and Python to tackle problems. And get guidance on how to launch your own Data Science projects. In fact, it might seem like too much at first. And there is a lot of content, exercises, study and challenges to get through. But with the right attitude, becoming a Data Scientist this quickly IS possible! Once you've finished Introduction to Data Science A-Z, you'll be ready for an incredible career in a field that's expanding faster than almost anything else in the world. Complete this course, master the principles, and join the ranks of Data Scientists all around the world. Who this course is for Anyone who's generally interested in Data Science Anyone not satisfied with their job and wanting to transition into Data Science Students in college wanting to start a career in Data Science Students unsure of their future career wanting to see what Data Science is about Junior Data Scientists aiming to boost their career prospects Homepage https://www.udemy.com/course/intro-to-data-science/ https://hot4share.com/8e1m97e4ttdy/mwka7.I.t.D.S.Y.S.G.T.S.part1.rar.html https://hot4share.com/9zy419v59zg4/mwka7.I.t.D.S.Y.S.G.T.S.part2.rar.html https://hot4share.com/1dser7nhjz3k/mwka7.I.t.D.S.Y.S.G.T.S.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/6b7540f496892D3F/mwka7.I.t.D.S.Y.S.G.T.S.part1.rar https://uploadgig.com/file/download/7a68901c6d695d1A/mwka7.I.t.D.S.Y.S.G.T.S.part2.rar https://uploadgig.com/file/download/90bb091D6FbeecdA/mwka7.I.t.D.S.Y.S.G.T.S.part3.rar Download ( Rapidgator ) https://rapidgator.net/file/bc64b3d8fcd73ca0b871065a84a94e66/mwka7.I.t.D.S.Y.S.G.T.S.part1.rar.html https://rapidgator.net/file/bcd53eb5cab766fa83de3e35d89a0ac6/mwka7.I.t.D.S.Y.S.G.T.S.part2.rar.html https://rapidgator.net/file/52a4287e231fcd9968d1a2e1552ab068/mwka7.I.t.D.S.Y.S.G.T.S.part3.rar.html Download ( NitroFlare ) http://nitro.download/view/05C8F0610C30856/mwka7.I.t.D.S.Y.S.G.T.S.part1.rar http://nitro.download/view/87ECFA998F88428/mwka7.I.t.D.S.Y.S.G.T.S.part2.rar http://nitro.download/view/C1BEC725992ABA8/mwka7.I.t.D.S.Y.S.G.T.S.part3.rar Links are Interchangeable - No Password - Single Extraction
  12. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.42 GB | Duration: 5h 59m Learn the basics of MongoDB with step by step exercises from a professional Web Developer. What you'll learn MONGODB BASICS Create your own databases from scratch Learn MongoDB Architecture: databases, documents, collections, key-value pairs Use CRUD operations in the mongo shell DATABASE DESIGN Use Embedded Documents to represent relationships in data Use various data structures to design a database for a blogging website case study DATA ANALYSIS Analyze real world datasets with projection, sorting, and filtering Use query operators to examine correlations between features in data Requirements PC with Internet Access Desire to learn NoSQL technology Description In this course, we'll begin by covering the basics of MongoDB and the key differences between NoSQL and SQL to help you build an intuitive understanding of foundational concepts for the course. This will be followed by engaging practical exercises to help you understand how to use database operations in the Mongo Shell. You'll then move on to designing your own database to store data for a blogging website, exploring how different data structures can be best-suited to solve different problems depending on the use case. Finally, we'll move on to data analysis. You'll use filtering, projection, sorting, and querying complex data structures to extract actionable insights from real world datasets. You'll build these skills through a blogging website case study and then apply them on an E-Commerce data analysis challenge. Who this course is for Database Administrators Data Scientists Anyone who is interested in NoSQL databases Data Analysts Big Data Enthusiasts Homepage https://www.udemy.com/course/introduction-to-mongodb/ [[code] https://hot4share.com/kb7ptos9qdrq/8x0cg.I.t.M.f.D.A.part1.rar.html https://hot4share.com/mvowzyc19zmg/8x0cg.I.t.M.f.D.A.part2.rar.html Download (Uploadgig) https://uploadgig.com/file/download/622BA8734a163872/8x0cg.I.t.M.f.D.A.part1.rar https://uploadgig.com/file/download/a4fdc79f511C070a/8x0cg.I.t.M.f.D.A.part2.rar Download ( Rapidgator ) https://rapidgator.net/file/db8b59a842f34683419b234255862b9e/8x0cg.I.t.M.f.D.A.part1.rar.html https://rapidgator.net/file/dfdaf009a3e829e57efecf3a5ead0399/8x0cg.I.t.M.f.D.A.part2.rar.html Download ( NitroFlare ) http://nitro.download/view/8994665B8EB0241/8x0cg.I.t.M.f.D.A.part1.rar http://nitro.download/view/3B2BD21B832E0D6/8x0cg.I.t.M.f.D.A.part2.rar[/code] Links are Interchangeable - No Password - Single Extraction
  13. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 0.98 GB | Duration: 1h 32m Statistics for Business: Descriptive and Inferential statistics, Probability, Hypothesis testing, Regression analysis What you'll learn Understand the fundamentals of statistics and probability How to Description data using Excel Be able to understand different types of data Understand how regression models work Understand how to use various statistical distributions Apply statistical methods and hypothesis testing to business problems Requirements No prerequisites. Course is designed for beginners. Willingness to learn and practice. Excel (Trial or Full version) Description In every aspect of my life, whether professional or personal - having a better understanding of numbers allows me to improve my performance and understanding of business. I am an Operations Management Professional in the largest Oil and Gas service company with extensive hand-on experience from Lean Six Sigma and Maintenance & Reliability. LET'S BUILD SOUND STATISTICS FOUNDATION TOGETHER - PRACTICAL THINGS THAT YOU NEED IN BUSINESS I have tailored the course to reflect the business needs I had in the past and teach you new skill. Statistics Essentials Training course is divided in following sections SETTING UP EXCEL - we go though basic math functions in Excel and install the Excel's Analysis Toolpack, How to make basic graphs and charts in Excel STATISTICS OVERVIEW - brief overview of statistics, collecting & analyzing data, designing studies PROBABILITY - How to calculate probability, combinations, variations, permutations DESCRIPTIVE STATISTICS - Central tendency measurements, means, median, mode, weighted mean. MEASURES OF SPREAD - Range, Standard deviation, Z-Score, Confidence interval, Z-score, T-Score HYPOTHESIS TEST - How to do it, Significance levels, P-values REGRESSION ANALYSIS - Simple linear, how to do regression analysis in Excel, Correlation Coefficient CHARTS AND GRAPHS - Pie chart, Bar Graphs, Histograms INSIDE EACH SECTION, STUDENTS WILL GET Videos: You will see me explain statistics and probability from the beginning. I will be using blackboard, graphs and Excel to help you understand the topics. Notes: The notes section of each lesson is where you find the most important things to remember. All the things you need in one place. Quizzes: Each section is accompanied by a knowledge test. If you pass - move on. If you don't - ask questions in Q&A section and review materials. YOU'LL ALSO GET Lifetime access to Statistics Essentials Training Udemy Certificate of Completion available for download 30-day money back guarantee Together we will work towards creating a sound statistics foundation on which you can build on. Weather you want to pass an exam, become lean six sigma professional or if you are planning to become a data scientist. We will cover theory and you will have practice quizzes and questions along the way to reinforce your knowledge. My goal is to help you learn new skills, so feel free to ask me any question and I will make sure to follow up. Welcome! - Nikola Who this course is for People who want a career in Data Science People who want a career in Business Intelligence Business executives Business Analysts Lean Six Sigma Professionals Students Anyone interested to gain foundation in statistics Homepage https://www.udemy.com/course/statistics-probability-essentials-training/ https://hot4share.com/1vqn56ti08xq/2p9t0.S.E.T.f.B.a.D.S.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/3dDf06f535dcB00A/2p9t0.S.E.T.f.B.a.D.S.rar Download ( Rapidgator ) https://rapidgator.net/file/2acfdb6513b00518484be3028d9c0b93/2p9t0.S.E.T.f.B.a.D.S.rar.html Download ( NitroFlare ) http://nitro.download/view/860DCE942C97F30/2p9t0.S.E.T.f.B.a.D.S.rar Links are Interchangeable - No Password - Single Extraction
  14. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.40 GB | Duration: 6h 49m Master data visualization in Python with the matDescriptionlib, seaborn, Descriptionly and dash libraries. What you'll learn Explore data sets visually in Python. Create web interfaces to visually present results. Master the most important Python data visualization libraries (matDescriptionlib, seaborn, Descriptionly and dash). Synthesize data sets for presentation to non-technical audiences. Requirements Very basic Python knowledge. Description Learn how to synthesize complex data sets easily in a visual way. In this course, you will develop this basic data science skill (data visualization) by exploring real data sets with the most popular Python tools (matDescriptionlib, seaborn, Descriptionly, and dash). You will learn how to extract the most relevant information from data and present it with a variety of graphs and charts to non-technical people. Learn how to extract visual knowledge from complex data for decision-making with Python. - Master the main visualization libraries in Python for Data Science. - Discover and extract the most important knowledge from complex data. - Learn to build web interfaces with charts to present important results to a wider audience. Master a basic data science skill. In the course, you will explore 8 different datasets. You will learn to understand their content and answer questions by building a variety of graphs, basic and advanced. This is a basic data science skill as data science professionals analyze and model data to assist decision-making and solve complex problems. Data visualization is a fundamental part of this process, guiding the data scientist's analysis and presenting the results in a way that people with diverse profiles can understand. For the presentation of results, we will create a web interface with the Descriptionly library that will show in real-time the most relevant information of a web page: visits, user types, session duration, purchases, etc. At the end of the course, you will master all these tools fluently and will be able to visually analyze your own datasets and extract the most relevant information from them. Who this course is for Aspiring data scientists who want to master this fundamental skill. Data analysts who want to learn how to discover relevant information from data. Professionals who need to communicate complex data visually to third parties. Students in the areas of programming, science or business who want to present complex information visually. Homepage https://www.udemy.com/course/data-visualization-in-python/ https://hot4share.com/pe5h0rp0m4uj/u81kg.D.V.i.P.M.S.D.D.part1.rar.html https://hot4share.com/x58pbbniwedl/u81kg.D.V.i.P.M.S.D.D.part2.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/CB88a21b73d4475b/u81kg.D.V.i.P.M.S.D.D.part1.rar https://uploadgig.com/file/download/8176d21449e651c1/u81kg.D.V.i.P.M.S.D.D.part2.rar Download ( Rapidgator ) https://rapidgator.net/file/f86079d401c668819c10d232a47a7fc9/u81kg.D.V.i.P.M.S.D.D.part1.rar.html https://rapidgator.net/file/32da2889da776524057c6c567ecd17f8/u81kg.D.V.i.P.M.S.D.D.part2.rar.html Download ( NitroFlare ) http://nitro.download/view/318F4114E888FA9/u81kg.D.V.i.P.M.S.D.D.part1.rar http://nitro.download/view/7F0507C2D872083/u81kg.D.V.i.P.M.S.D.D.part2.rar Links are Interchangeable - No Password - Single Extraction
  15. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 59 lectures (6h 3m) | Size: 5.67 GB Take the first step into the world of Data Science with Data Science experts What you'll learn Learn how data science turns data into valuable information. Understand what cognitive biases are and how data science helps us fight them. Know what spurious correlation is and how we can avoid it. Learn how to conduct a data-driven business experiment that verifies whether a change creates a positive impact. Realize how Big Data brings unpurposed data collections and how we need to address these. Make decisions about which of the four essential data science approaches to utilize. Discover who data scientists are and what it would take for you to become one. Recognize how Data Science creates scientific models through experimentation and observation. Remember basic methods of data science such as descriptive statistics of correlation measure. Obtain a strong intuition behind what a Machine Learning model does. Discover why a data science model simplifies human decision-making. Requirements Just a motivation to learn new concepts. This course is really meant for anyone, even if you are an absolute beginner to the topic of Data Science. Description Understanding how we can derive valuable information from the data has become an everyday expectation. Previously, organizations looked up to data scientists. Nowadays, organizations liberate data science. Everyone can contribute to the efforts of turning data into valuable information. Thus, even if your aspirations are not to be a data scientist, open yourself the door to these projects by gaining so-necessary intuitive understanding. With this course, you can take the first step into the world of data science! This course will explain how data science models create value from the absolute basics even if you feel like a complete beginner to the topic. Three data scientists deliver the course, with cumulative 15 years of professional and academic experience. Hence, we won't repeat the textbooks. We will uncover a valuable bit of this lucrative field with every lecture and take you closer to your desired future role around data science projects. We do not teach programming aspects of the field. Instead, we entirely focus on data science's conceptual understanding. As practice shows, real-world projects tremendously benefit by incorporating practitioners with thorough, intuitive knowledge. Over 6 hours of content, consisting of top-notch video lectures, state-of-the-art assignments, and intuitive learning stories from the real world. The narrative will be straightforward to consume. Instead of boring you with lengthy definitions, the course will enlighten you through dozens of relatable examples. We will put ourselves in the shoes of ice cream vendors, environmentalists examining deer migrations, researchers wondering whether storks bring babies, and much more! After the course, you will be aware of the basic principles, approaches, and methods that allow organizations to turn their datasets into valuable and actionable knowledge! The course structure follows an intuitive learning path! Here is an outline of chapters and a showcase of questions that we will answer Chapter 1: "Defining data science". We start our journey by defining data science from multiple perspectives. Why are data so valuable? What is the goal of data science? In which ways can a data science model be biased? Chapter 2: "Disciplines of Data Science". We continue by exploring individual disciplines that together create data science - such as statistics, big data, or machine learning. What is the difference between artificial intelligence and machine learning? Who is a data scientist, and what skills does s/he need? Why do data science use cases appear so complex? Chapter 3: "Describing and exploring data". We tackle descriptive and exploratory data science approaches and discover how these can create valuable information. What is a correlation, and when is it spurious? What are outliers, and why can they bias our perceptions? Why should we always study measures of spread? Section 4: "Inference and predictive models". Herein, we focus on inferential and predictive approaches. Is Machine Learning our only option when creating a predictive model? How can we verify whether a new sales campaign is successful using statistical inference? Section 5: "Bonus section". We provide personal tips on growing into data science, recommended reading lists, and more! We bring real-life examples through easy-to-consume narratives instead of boring definitions. These stories cover the most critical learnings in the course, and the story-like description will make it easier to remember and take away. Example "Do storks bring babies?" story will teach us a key difference among correlation, causation, and spurious correlation. "Are we seeing a dog or a wolf?" story will explain why it is crucial to not blindly trust a Machine Learning model as it might learn unfortunate patterns. "Is the mushroom edible?" case will show a project that might be a complete failure simply because of a biased dataset that we use. "Which house is the right one?" story will explain why we frequently want to rely on Machine Learning if we want to discover some complex, multi-dimensional patterns in our data. "I love the yellow walkman!" is a case from 20 years ago, when a large manufacturer was considering launching a new product. If they relied on what people say instead of what data say, they would have a distorted view of reality! "Don't trust the HIPPO!" is a showcase of what is, unfortunately, happening in many organizations worldwide. People tend to trust the Highest Paid Person's Opinion instead of trusting what the data says. The course is interactive! Here is what you will meet Assignments in which you can practice the learned concepts and apply your creative and critical thinking. Quizzes on which you can demonstrate that you have gained the knowledge from the course. You can take away many handouts and even print them for your future reference! Shareable materials that you can use in your daily work to convey a vital Data Science message. Reference and valuable links to valuable materials and powerful examples of Data Science in action. Important reminder: This course does not teach the programming aspects of the field. Instead, it covers the conceptual and business learnings. Who this course is for Anyone interested in data science. Students at college who want to pursue a career in data science. Technical professionals from data-related disciplines who feel like they lack formal education in data science. Software engineers, BI specialists and reporting analysts who are considering a switch in their career towards data science. Anyone preparing for a job interview to a department that works a lot with the data. Anyone who would like to implement data science more in their daily operations. 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  16. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 58 lectures (7h 2m) | Size: 2.68 GB Learn how to use Python powerful liberaries to manipulate and process data to do data analysis & data visualization What you'll learn What is Python libraries or modules & how to use its methods? How to use Numpy + pandas in data Analysis And data Science. How to use Python to manipulate & process data. Data analysis & data visualization using Python. Requirements Computer and internet. No primer programming experience needed for this course. Description The most important part of data science is understanding the data that is available to data scientists. You will only be able to achieve the best outcomes if you have the correct knowledge of data and the appropriate data for the task at hand. The analysis, Visualization, and manipulation of data are all very important in Data Science. Everything about data analysis and data science is made exceedingly simple with Python. We may easily achieve any desired action by utilizing some of the top libraries available in Python. Pandas is one such package that allows us to examine and manipulate data in order to reduce the complexity and speed up the problem-solving process. One of the best features available in Python for data analysis operations is the Python libraries for data processing and manipulation. You are capable of doing a wide range of jobs with ease. In this course, we'll look at the various sorts of operations that every data scientist must employ in order to complete a project with the least amount of resources while reaching the maximum level of efficiency. What you will learn in this course ? Learn Python by doing Examples step by step. In this course you will learn how to Install Python 3. In this course you will learn how to use python IDLE. In this course you will learn how to choose Python IDE to learn coding. In this course you will learn how to Install Anaconda for Python coding. In this course you will learn how to use Online Jupyter for Python Programming. In this course you will learn how to use Python IDLE. In this course you will learn how What the difference between Variables & Operators in Python. In this course you will learn Operators Types in Python. In this course you will learn Python Data Types. In this course you will learn String Functions & entries in Python. In this course you will learn how to use Input String Function in Python. In this course you will learn Python Data Structures. In this course you will learn how to create Lists & lists operations in Python. In this course you will learn how to create Dictionaries & Dictionaries operations in Python . In this course you will learn how to create Tuples & Tuples operations in Python. In this course you will learn and when to use For Loop in Python. to create Sets & Sets operations in Python. In this course you will learn how and when to use Control Flow and Loops in Python. In this course you will learn IF Statement and control flow in Python. In this course you will learn how and when to use For Loop in Python. In this course you will learn how and when to use While Loop in Python. In this course you will learn how to Handle Errors in your Python programs. In this course you will learn how and when to use Python Functions. In this course you will learn how and when to create functions in Python. In this course you will learn how and when to use Lambda Expression in Python. In this course you will learn how to create and use to Python Modules. Lear how to use Python to open files. Learn Data Analysis Process step by step. Learn coding in Python Numpy Library Methods in this course. Learn how to use Numpy Library Methods & Functions to manipulate data in this course. Learn how to use Numpy Library Methods & Functions to process images. Learn coding in Python Pandas Library Methods in this course. Learn coding in Python Pandas Library Data Analysis in this course. Learn coding in Python Pandas Library Data Visualization in this course. Who this course is for Are you want to learn more about Python data libraries Methods & Functions? Are you want to learn more about Data Analysis using Python libraries? Are you want to learn more about Pandas + Numpy? 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  17. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 25 Lessons (11h 1m) | Size: 2.74 GB What does that data look like? In this series, we take a look at common formats for saving, reading, and shuffling data around such as Comma Separated Values (CSV), JavaScript Object Notation (JSON), YAML Ain't Markup Language (YAML), and eXtensible Markup Language (XML). If you want to know more about these data formats as well as how to interact with these different data representation using Python, then we will see you there! Homepage https://www.itpro.tv/courses/python/data-representationserialization/ https://hot4share.com/91xbgrkjfg9s/sig55.I..D.R.a.S.part1.rar.html https://hot4share.com/5ai7ypvjkbqy/sig55.I..D.R.a.S.part2.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/4b4Ac9E4cd9Cae4f/sig55.I..D.R.a.S.part1.rar https://uploadgig.com/file/download/D2c51b6acFdd7c37/sig55.I..D.R.a.S.part2.rar Download ( Rapidgator ) https://rapidgator.net/file/150ff420505965847337f04b3a02b122/sig55.I..D.R.a.S.part1.rar.html https://rapidgator.net/file/dfe2e27b507592a4d75b278f1cd05805/sig55.I..D.R.a.S.part2.rar.html Download ( NitroFlare ) http://nitro.download/view/2C7111540C31CF9/sig55.I..D.R.a.S.part1.rar http://nitro.download/view/09FF6E6898903DB/sig55.I..D.R.a.S.part2.rar Links are Interchangeable - No Password - Single Extraction
  18. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 46m | Size: 110 MB Are you preparing for the Microsoft Azure Data Engineering (DP-203) exam, or seeking a better understanding of how to design and develop data processing? This course, the second in a series, can help you. Noah Gift, founder of Pragmatic A.I. Labs and a Python Software Foundation Fellow, covers how to design and develop data processing with Azure. Noah shows you how to use Apache Spark, Data Factory, and Databricks to ingest and transform data in Azure. He goes over data cleaning and common data transformation tasks, then dives into batch processing solutions. After explaining how to integrate Jupyter/Python notebooks into your data pipeline, Noah discusses stream processing, the differences between stream and batch processing, and using the Azure Data Factory solution to manage your batches and pipelines. Homepage https://www.linkedin.com/learning/microsoft-azure-data-engineering-dp-203-2-design-and-develop-data-processing https://hot4share.com/n8zjpcctc7um/sbqla.M.A.D.E.D.2.D.a.D.D.P.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/5ceD532308f9b68b/sbqla.M.A.D.E.D.2.D.a.D.D.P.rar Download ( Rapidgator ) https://rapidgator.net/file/842b3774a13a044cc8fd2010889caff7/sbqla.M.A.D.E.D.2.D.a.D.D.P.rar.html Download ( NitroFlare ) http://nitro.download/view/57A2A18E5865866/sbqla.M.A.D.E.D.2.D.a.D.D.P.rar Links are Interchangeable - No Password - Single Extraction
  19. Duration: 55m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 479 MB Genre: eLearning | Language: English Are you preparing for the Microsoft Azure Data Engineering (DP-203) exam, or just looking for a stronger understanding of how to design and implement data storage? Either way, this course, the first in a series, can help you. Noah Gift, founder of Pragmatic A.I. Labs and a Python Software Foundation Fellow, shows you how to design and implement data storage on Azure. Noah walks you through the full process of designing a data storage structure, from designing an Azure Data Lake solution to designing a data archiving solution. He explains horizontal, vertical, and functional data partitioning strategies and how to choose which strategy will work best for your data. Noah goes over designing both analytical stores and metastores, then dives into implementing table geometries, data storage structures, data architectures, and more. Note: This course was created by Noah Gift. We are pleased to host this training in our library. Homepage https://www.linkedin.com/learning/microsoft-azure-data-engineering-dp-203-1-designing-and-implementing-data-storage https://hot4share.com/jryldzi6o6p5/7o9qj.M.A.D.E.D.1.D.a.I.D.S.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/99455582fF37891d/7o9qj.M.A.D.E.D.1.D.a.I.D.S.rar Download ( Rapidgator ) https://rapidgator.net/file/c4daab8b461136599c327a95f1ac6d8f/7o9qj.M.A.D.E.D.1.D.a.I.D.S.rar.html Download ( NitroFlare ) http://nitro.download/view/95E5A61FA067794/7o9qj.M.A.D.E.D.1.D.a.I.D.S.rar Links are Interchangeable - No Password - Single Extraction
  20. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 40 lectures (8h 44m) | Size: 3.71 GB MicroStrategy is a self driven data visualization tool. Drive insight discovery with the data visualization app What you'll learn MicroStrategy Business Intelligence Platform Able to develop dashboard as per the business needs Able to be expert in data analytics and Data Visualization The career path will be wider so that a student can achieve a successful position in IT industry Requirements Basic Knowledge on SQL Basic knowledge on Data Warehousing Description MicroStrategy is a complete data analytics platform that sets the benchmark for a new generation of analytics. With its one-of-a-kind associative analytics engine, sophisticated AI, and high performance cloud platform, you can empower everyone in your organization to make better decisions daily, creating a truly data-driven enterprise. MicroStrategy is for all of us - executives, decision-makers, analysts... you. Enable any BI use case and let users freely search and explore to uncover insights they won't find with query-based BI tools. Insight Advisor, your AI assistant in MicroStrategy, instantly raises the data literacy of every user through insight generation, task automation, and search & natural-language interaction. Get the convenience of on-premise for the most demanding enterprises. Scale confidently with powerful data integration, open APIs, and flexible governance. MicroStrategy can easily combine, load, visualize, and explore your data, no matter how large (or small). Ask any question and follow your curiosity. Search, select, drill down, or zoom out to find your answer or instantly shift focus if something sparks your interest. Every chart, table, and object is interactive and instantly updates to the current context with each action. Smart visualizations reveal the shape of your data and pinpoint outliers. And get faster time to insight with assistance from Insight Advisor for chart creation, association recommendations, and data preparation. Who this course is for Beginners BI professional Business Analysts Programmers Project Managers HR professionals Accounts Processionals MIS executives Homepage https://www.udemy.com/course/microstrategy-data-analytics-business-intelligence-course/ https://hot4share.com/4oadxor3coy8/14a2n.M.D.A..B.I.C.part1.rar.html https://hot4share.com/1xmzwt20190d/14a2n.M.D.A..B.I.C.part2.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/b3340b8518190b93/14a2n.M.D.A..B.I.C.part1.rar https://uploadgig.com/file/download/d1d548Fd05D153e8/14a2n.M.D.A..B.I.C.part2.rar Download ( Rapidgator ) https://rapidgator.net/file/e473a95f043c41d3feee55731f75ecdf/14a2n.M.D.A..B.I.C.part1.rar.html https://rapidgator.net/file/7dffd930e50385ceb6a69e5b61e0e694/14a2n.M.D.A..B.I.C.part2.rar.html Download ( NitroFlare ) http://nitro.download/view/351045B235D7D14/14a2n.M.D.A..B.I.C.part1.rar http://nitro.download/view/C2039C4380A2612/14a2n.M.D.A..B.I.C.part2.rar Links are Interchangeable - No Password - Single Extraction
  21. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 23 lectures (6h 38m) | Size: 4.62 GB Learn how to enter accounting data into an accounting system using Excel, generating reports for multiple months What you'll learn How to enter transactions into an accounting system using Excel How to create reports for the current month and for the year to date How to enter transactions into a general journal How to post transactions to a general ledger How to create a trial balance for the current month and the year to date How to create subsidiary ledgers for accounts receivable, accounts payable, and inventory How to create financial statements for one month and for the year to date Requirements None Description This course will enter a month's worth of data input into an accounting system using Excel, which has already been set up and includes one month of data input. Learners will learn how to navigate Microsoft Excel and use a well-designed accounting worksheet, complete with a general journal, trial balance, general ledger, subsidiary ledgers for accounts receivable, accounts payable, & inventory, financial statements, and much more. Excel is an excellent tool to learn accounting because it is much more transparent than a database program, like accounting software. QuickBooks is a typical example of accounting software. For most new steps in our accounting practice problem, you will have access to a downloadable Excel Workbook containing at least two tabs, one with the answer, the new tasks completed, the other starting where the prior presentation left off. As we enter the second month of data input, we will analyze the current month's data and the year-to-date data. We will use Excel to understand how accounting software like QuickBooks generates reports for different periods, including reports for one month, multiple months, and comparative reports. The course will demonstrate transactions for each accounting cycle, the revenue cycle, the purchases cycle, and the payroll cycle. We will enter transactions into the general journal, the general ledger, subsidiary ledgers, the trial balance, and the financial statements. Learners will create financial statements for the current month and the year-to-date data. Who this course is for Anybody how wants to learn accounting Accounting and business professionals Anybody who wants to learn Excel Accounting and business students Homepage https://www.udemy.com/course/excel-accounting-4enter-data-track-current-month-ytd/ https://hot4share.com/rjcejc7f2d0a/tx4g1.E.A.4.D..T.C.M..Y.part1.rar.html https://hot4share.com/t898vjhprob2/tx4g1.E.A.4.D..T.C.M..Y.part2.rar.html https://hot4share.com/yk2ez9x5ni98/tx4g1.E.A.4.D..T.C.M..Y.part3.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/e5215CB523608e86/tx4g1.E.A.4.D..T.C.M..Y.part1.rar https://uploadgig.com/file/download/2c0F4fdd302000ea/tx4g1.E.A.4.D..T.C.M..Y.part2.rar https://uploadgig.com/file/download/2b9858aa19d63328/tx4g1.E.A.4.D..T.C.M..Y.part3.rar Download ( Rapidgator ) https://rapidgator.net/file/e5003e3f52a58ddb5ba4e806d43d2ba7/tx4g1.E.A.4.D..T.C.M..Y.part1.rar.html https://rapidgator.net/file/642469b53c461d0008b2f4e114a5d0b0/tx4g1.E.A.4.D..T.C.M..Y.part2.rar.html https://rapidgator.net/file/98c55dc3a7777e52d95f63fc9a665a62/tx4g1.E.A.4.D..T.C.M..Y.part3.rar.html Download ( NitroFlare ) http://nitro.download/view/9C3FD1879900731/tx4g1.E.A.4.D..T.C.M..Y.part1.rar http://nitro.download/view/F01B77D4DB780F1/tx4g1.E.A.4.D..T.C.M..Y.part2.rar http://nitro.download/view/4EE35DEB1498672/tx4g1.E.A.4.D..T.C.M..Y.part3.rar Links are Interchangeable - No Password - Single Extraction
  22. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 77 lectures (9h 19m) | Size: 7.53 GB Learn how to use Pandas, NumPy, Dash, Descriptionly, Scikit-Learn, Machine Learning, Tensorflow , and more on COVID-19 project What you'll learn Complete end-to-end realtime projects related to COVID-19. Apply Deep Learning and Machine Learning concepts on real world cases. Apply concepts like Time Series Analysis, Dashboard Building, LSTMs, Object Detection, GBMs. Work with various types of data which includes structured and unstructured data like text, image, videos. Build a Live COVID-19 Dashboard Using Dash & Descriptionly Requirements Knowledge of Machine Learning and Deep Learning Concepts. Knowledge of programming preferably in Python. Description 9 Projects in 1 Using Real-World Datasets for COVID-19!!!!!!! For over a century, data has been the most powerful weapon to fight disease whether it was SARS in 2003 or MERS in 2012, data has been the most powerful weapon to fight disease. Can we now use data to solve problems related to COVID-19? Introducing Data Science & Machine Learning for Covid-19 using Python, the only course on the internet that will cover the depth and breadth of using Deep Learning and Machine Learning to solve real-world problems related to COVID-19. Tired of using dummy datasets? In this course we will use real-world data and solve various problems related to COVID-19. Along the way we will be learning a lot of tools and concepts. Following are the projects we will be covering 1. Face Mask Detection 2. Building a COVID-19 Live Dashboard using Dash & Descriptionly 3. mRNA degradation Prediction using LSTMs 4. Classifying COVID-19 based on Symptoms using GBM 5. Time Series Forecasting of COVID-19 cases 6. COVID-19 Classification Using Chest X-rays 7. Detecting Social Distancing Using Object Detection 8. COVID-19 Diagnosis & FAQ Chatbot Using Rasa 9. COVID-19 Tweets Classification on Microsoft Curated Dataset Using RNNs During this journey, you will be learning a lot of tools and frameworks 1. Pandas 2. Numpy 3. OpenCV 4. Scikitlearn 5. Tensorflow 2 6. Keras 7. RASA 8. YoloV2 9. FB Prophet Along side we will cover the following concepts and implement the above practical projects 1. Face Detection 2. Object Detection 3. Dashboard Building 4. Sequence to Sequence Prediction 5. Image Classification 6. Chatbot Building With a blend of slides and code walkthrough you are taken through a complete journey of solving every problem mentioned in each of the projects. The course comes with all the source code used in developing all the projects. The course will be timely updated! With query resolution in the Q&A section so you are not left out on any concept! Who this course is for Anyone with some knowledge of Programming and basic data science concepts. Beginner Data Scientists Experienced Data Scientists Software Developers interested in Data Science Beginner Python developers curious about Data Science Homepage https://www.udemy.com/course/data-science-machine-learning-for-covid-19-using-python/ https://hot4share.com/gastlroa93eu/9pc9m.D.S..M.L.f.C.u.P.part1.rar.html https://hot4share.com/ot15347qkh14/9pc9m.D.S..M.L.f.C.u.P.part2.rar.html https://hot4share.com/4g77fir34d86/9pc9m.D.S..M.L.f.C.u.P.part3.rar.html https://hot4share.com/lut04otx27u1/9pc9m.D.S..M.L.f.C.u.P.part4.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/f3228573CFea771a/9pc9m.D.S..M.L.f.C.u.P.part1.rar https://uploadgig.com/file/download/64de0cd557c84564/9pc9m.D.S..M.L.f.C.u.P.part2.rar https://uploadgig.com/file/download/4C85a0fb8E9748bf/9pc9m.D.S..M.L.f.C.u.P.part3.rar https://uploadgig.com/file/download/0AefcA4b40e40Fea/9pc9m.D.S..M.L.f.C.u.P.part4.rar Download ( Rapidgator ) https://rapidgator.net/file/5fb6255a5be6a957018a91b96d62836f/9pc9m.D.S..M.L.f.C.u.P.part1.rar.html https://rapidgator.net/file/90c08fad87a39b31704a5c37f4a4812b/9pc9m.D.S..M.L.f.C.u.P.part2.rar.html https://rapidgator.net/file/b1aeb89adc87b0673145bd1d6516278d/9pc9m.D.S..M.L.f.C.u.P.part3.rar.html https://rapidgator.net/file/7d01cda2df94b8e3c5bd64d08e8e9ed6/9pc9m.D.S..M.L.f.C.u.P.part4.rar.html Download ( NitroFlare ) http://nitro.download/view/B4CD1BB4D5AD281/9pc9m.D.S..M.L.f.C.u.P.part1.rar http://nitro.download/view/EA1D1EBDC5FA767/9pc9m.D.S..M.L.f.C.u.P.part2.rar http://nitro.download/view/7B82D83B38DD2BD/9pc9m.D.S..M.L.f.C.u.P.part3.rar http://nitro.download/view/846E8C99CC7E478/9pc9m.D.S..M.L.f.C.u.P.part4.rar Links are Interchangeable - No Password - Single Extraction
  23. Data Guardian 7.0.5 | macOS | 34 mb Data Guardian is a secure database application. Security and privacy are two of the most important issues in today's world; leaving passwords on sticky notes around your computer simply will not cut it anymore. Data Guardian is a secure database application with up to 448-bits of Blowfish encryption - regardless of how sensitive your data is. Create multiple databases in Data Guardian for a variety of purposes such as an address book, customer database, christmas shopping list, journal, password manager, or even notepad. Compatibility:macOS 10.14 or later Homepage:http://www.koingosw.co https://hot4share.com/53fzzinc6ws9/wvnlh.Data.Guardian.7.0.5.rar.html Download ( Rapidgator ) https://rapidgator.net/file/8bd4eaff8f4e66b6009afd99a9b725b1/wvnlh.Data.Guardian.7.0.5.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/ca9ba1370D639491/wvnlh.Data.Guardian.7.0.5.rar Download ( NitroFlare ) http://nitro.download/view/69EB5C48EEC037A/wvnlh.Data.Guardian.7.0.5.rar
  24. Duration: 1h 4m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 680 MB Genre: eLearning | Language: English Are you looking for new skills to better prepare yourself for a career that uses building information modeling (BIM)? Find out how to bring the methods and insights of data analysis into the early phases of a design project. In this course, instructor Brian Myers shows you how to enter, analyze, and optimize architectural design data. Discover functional, easy-to-use tools for creating project programs in either Revit or Excel. Get the skills you need to create schedules, automatically update revisions, output graphics and visualizations, and map out objects and room relationships. By the end of this course, you'll have the tools to analyze and leverage design data to make more effective project decisions. BIM adoption is growing fast-learn more about how you can grow with it. Homepage https://www.linkedin.com/learning/data-for-architectural-design https://hot4share.com/hd6vbize9r5a/hyy0r.D.f.A.D.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/04Ec5717a575ae77/hyy0r.D.f.A.D.rar Download ( Rapidgator ) https://rapidgator.net/file/405babef50d7f571b1de921dd8fe10e6/hyy0r.D.f.A.D.rar.html Download ( NitroFlare ) http://nitro.download/view/F60D07E6DFA029D/hyy0r.D.f.A.D.rar Links are Interchangeable - No Password - Single Extraction
  25. Duration: 1h | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 524 MB Genre: eLearning | Language: English Are you interested in pursuing a certification in data analytics? This course-the third in a six-part certification prep series-is designed specifically for newcomers to the field who are seeking their CompTIA Data+ certification. Join instructor Mike Chapple as he takes you through various data analysis techniques and helps you prepare for the Data+ exam. Learn more about all the material on domain three of the test. Get the skills you need to excel in sections on descriptive statistics, inferential statistics, analytic techniques, and common analytic tools. Mike covers not only what you need to know, but also how to put your knowledge into practice down the road. Upon completing this course, you'll be better prepared to tackle the data analysis domain of the CompTIA Data+ exam. Homepage https://www.linkedin.com/learning/comptia-data-plus-da0-001-cert-prep-data-analysis https://hot4share.com/3gi8c4il4rda/xzrof.C.D.D.C.P.D.A.rar.html [b]Download (Uploadgig)[/b] https://uploadgig.com/file/download/6489f4E188af5a7b/xzrof.C.D.D.C.P.D.A.rar Download ( Rapidgator ) https://rapidgator.net/file/abb1bdd1e363e73534182438264fcaae/xzrof.C.D.D.C.P.D.A.rar.html Download ( NitroFlare ) http://nitro.download/view/86A74DADE3AEEB3/xzrof.C.D.D.C.P.D.A.rar Links are Interchangeable - No Password - Single Extraction
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