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Master OpenAPI and the Swagger Framework .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 48000 Hz, 2ch | 980 MB Duration: 2 hours | Genre: eLearning Video | Language: English Master everything you need to know about Open API and Swagger Tools What you'll learn How to use Open API to create and design APIs How to use Swagger Hub's features to design APIs How to create and fork an API How to copy and delete APIs Master the Swagger Hub User Interface Use Keyboard Shortcuts in Swagger Hub Become a pro at versioning in Swagger Hub Compare, Download, Delete, Re-name API's Master the different parts of Open API Learn how to use Paths, Servers, Parameters, Schema, Requests and Responses Get familiar with different types of authentication in Open API Learn and practice Swagger Inspector Requirements An Internet connection A working Computer with either Windows/MacOS or Linux A desire to learn! Elementary Knowledge of what an API is Description Whether you are a QA professional looking for a way to test API's or a developer looking for a one stop shop to manage your entire API design and development cycle Swagger has a solution for you . For business analysts Swagger can handle everything from API versioning to documentation. You will get a quick grasp on Swagger. It is one of the best set of API development tools out there, with the ability to design and document own projects for free. The course is divided into sections, each independently forms a module and a course in itself. Whether you are looking to get some experience with OpenAPI or a professional looking for a tool to standardize and document your API you will find what you need here. Everything is well documented and separated, so you can find what you need. Assignments and Quizzes will make sure you stay on track and test your knowledge. Swagger Hub UI We will enter the Swagger Hub home page called "My Hub". We will go over some key features. After which, we will learn how to edit an API in the editor UI. This will also generate documentation for them. Learn how to search, filter and sort existing API's. We will then see how we can use keyboard shortcuts to get our swagger tasks done in seconds. Working with API's in SwaggerHub So you've learnt how to navigate around the UI, now it is time to play with API's. Learn how to Create, Fork, Copy and Publish API's. Working with Versions in Swagger Hub You cannot run any significant project without versioning. And Swagger Hub has you covered. We will learn how to manage versions, and use the different features SwaggerHub exposes us to. We will also checkout the different ways to compare and merge API's. We will learn how to use tags and commits. As well as assign and merge Merge Requests. Also learn different ways to re-name an API as well as delete and download them in a variety of different ways. Master Open API Open API is the language(for lack of a better description) with Swagger Tools use to design, document and standardize API's. First you will get an overview with a sample API. Then we will delve into details of individual components. We will show you all the options and capabilities you get by using paths, servers, parameters, schema and responses. Learn how to use the different types of authentication. Intro to Swagger Inspector Sign in and get set up on Swagger Inspector. This tools will help you test and reverse engineer API's. You will check out different features and authentication modes with us. Master navigating the UI of this handy tool. This course will hand hold you through the basics and show you everything you need to get started with Swagger.This course will give you a great understanding of all the major concepts of Swagger. You will be pro before you know it. Let us get started! Who this course is for: Students trying to get a quick grasp of Swagger and Open API Professionals looking to use Swagger for their API design and documentation Developers who have used another tool to design their API and are now looking to move over to Swagger DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/5885B5A79560D3C/yqhao.Master.OpenAPI.and.the.Swagger.Framework.part1.rar http://nitroflare.com/view/8E87C61B0E9321E/yqhao.Master.OpenAPI.and.the.Swagger.Framework.part2.rar http://nitroflare.com/view/A88B6349BD0A464/yqhao.Master.OpenAPI.and.the.Swagger.Framework.part3.rar https://rapidgator.net/file/151188277ef918637ccf10f8b3a2b88c/yqhao.Master.OpenAPI.and.the.Swagger.Framework.part1.rar https://rapidgator.net/file/a57a0727ec6995c57b325a13ba91a90f/yqhao.Master.OpenAPI.and.the.Swagger.Framework.part2.rar https://rapidgator.net/file/7e6907c691071e0322bbdd889cca8b1b/yqhao.Master.OpenAPI.and.the.Swagger.Framework.part3.rar http://turbobit.net/e3q0cxpp7hrj/yqhao.Master.OpenAPI.and.the.Swagger.Framework.part1.rar.html http://turbobit.net/2cjfhaafkbzo/yqhao.Master.OpenAPI.and.the.Swagger.Framework.part2.rar.html http://turbobit.net/31x02zfmfzf8/yqhao.Master.OpenAPI.and.the.Swagger.Framework.part3.rar.html

Master Machine Learning , Deep Learning with Python .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 1.50 GB Duration: 3.5 hours | Genre: eLearning Video | Language: English Complete course covering fundamentals of Machine learning , Deep learning with Python code What you'll learn Requirements Description #Secret 1 - The requirement of maths and statistics is very shallow. In general people think that to master machine learning one needs to know lot of maths and statistics. What you'll learn Machine Learning Requirements Basic Python Description Let me begin by telling secrets of mastery of machine learning #Secret 1 - The requirement of maths and statistics is very shallow. In general people think that to master machine learning one needs to know lot of maths and statistics. That is not true. When it comes to applying machine learning, the knowledge of maths and statistics is limited. The way to think about this to compare with knowledge of database indexes. You need to master the best practices of using database indexes. You don't need to know how databases indexes algorithms work. The same holds for machine learning concepts. #Secret 2 - The key skill to master machine learning is fine tuning. Any experienced ML expert will tell you that the maximum time that goes in taking machine learning problems to production is optimisation. Hence ,is important to understand terms like overfitting ,underfitting sensitivity, specificity, precision, ROC, AUC. The course spends lot of time on these key fundamental concepts. A journey of thousand miles begins with first step. You always wanted to learn machine learning but many factors stopped you - fear of Maths , Statistics , the complexity of subject. Today is the day to break away from those fears. Enrol in the machine learning course and see for yourself that mastering machine learning can be simplified. Following are topics the course covers. The course uses Google Python notebooks. You see the code results immediately. Fundamentals of machine learning - Cost Functions, Labelled and Unlabelled data, Feature weights, Training and Testing Cross Validation. Feature Engineering. Linear Regression Classification - Concepts about True Positive, True Negative, Sensitivity, Specificity, Precision, ROC, AUC, Confusion Matrix KNN - Algorithm OverFitting and UnderFitting Regularization Decision Trees - Entropy, Information Gain Bagging and Boosting Deep Learning - Weights, Bias, Epochs, Gradient Descent,Batch, Stochastic Gradient Descent , Mini Batch Who this course is for: People interested about data science hitfile DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/AA2D2D38E555A4E/bsefi.Master.Machine.Learning..Deep.Learning.with.Python.part1.rar http://nitroflare.com/view/8074DB645D0122D/bsefi.Master.Machine.Learning..Deep.Learning.with.Python.part2.rar http://nitroflare.com/view/FB0E9369934C8CB/bsefi.Master.Machine.Learning..Deep.Learning.with.Python.part3.rar https://rapidgator.net/file/6e9fc7c2af404fa49b5095f9910a1757/bsefi.Master.Machine.Learning..Deep.Learning.with.Python.part1.rar https://rapidgator.net/file/765f7add8090fa4211541ea887b0c5c5/bsefi.Master.Machine.Learning..Deep.Learning.with.Python.part2.rar https://rapidgator.net/file/defcb9b9d1fa73d179f6f8322360ab99/bsefi.Master.Machine.Learning..Deep.Learning.with.Python.part3.rar http://turbobit.net/izitkr63berc/bsefi.Master.Machine.Learning..Deep.Learning.with.Python.part1.rar.html http://turbobit.net/uif5zsw4gxe6/bsefi.Master.Machine.Learning..Deep.Learning.with.Python.part2.rar.html http://turbobit.net/5dk749tsy85c/bsefi.Master.Machine.Learning..Deep.Learning.with.Python.part3.rar.html

Master Flutter & Dart: De cero a experto .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 6.65 GB Duration: 14 hours | Genre: eLearning Video | Language: Español Desarrolla aplicaciones IOS y Android desde un solo lugar con Flutter y Dart. +13 Aplicaciones y 2 Proyectos Reales. What you'll learn Conceptos de programación a objetos (OOP): propiedades, métodos, clases, herencias, clases abstractas e interfaces. Flujo de Control: IF/Else, switch, whiles, for loops. Estructura de Datos: Colecciones como maps y lists. Programación asíncrona: Como realizar llamadas asíncronas a APIs y obtener datos de un servidor remoto. Conocimiento profundo en el lenguaje de programación DART. Conocimiento profundo del Framework de Flutter. Tener una base sólida para comenzar a trabajar como cross-platform mobile developer utilizando Flutter. Requirements Un Pc o un Mac. No es requerido tener conocimientos previos en programación, comenzaremos de cero. No es requerido tener conocimientos previos en IOS o Android Description Flutter es el nuevo framework mobile de Google para crear interfaces nativas en iOS y Android en un tiempo récord. Flutter funciona con Dart (originalmente llamado Dash) el cual es un lenguaje de programación orientado a objetos y de código abierto. La prioridad de Flutter es aumentar la calidad de desarrollo de aplicaciones y que sea sencillo. ¿Porque deberíamos comenzar a utilizar Flutter? Multiplataforma: Al utilizar el mismo render, framework y librerías, flutter permite crear a través de un solo UI una aplicación que pueda correr tanto en Android como en IOS, además proporciona widgets basados en las pautas de Cupertino (IOS) y Material Design (Android) como los es el scrolling, navegación, iconos y fuentes para proporcionar un completo rendimiento nativo en el dispositivo Desarrollo Rápido: Hot Reload es una práctica que permite realizar cambios en tu aplicación en tiempos de ejecución. En milisegundos las modificaciones se verán en el dispositivo sin la necesidad de tener que detener y levantar la aplicación como se realiza en el modo tradicional. Comunidad en crecimiento Flutter es un framework aún en Beta, pero está respaldado por Google, su comunidad va en crecimiento, lo cual queda demostrado en su github oficial. Que voy a obtener este curso: Desarrollar 15 aplicaciones distintas para comprender Flutter. Desarrollar un WhatsApp Clone. Desarrollar una aplicación de cartelera de películas utilizando el API Tmdb. El mejor soporte si tienes alguna pregunta. Al finalizar el curso tu vas a entender completamente: Conceptos de programación a objetos (OOP): propiedades, métodos, clases, herencias, clases abstractas e interfaces. Flujo de Control: IF/Else, switch, whiles, for loops. Estructura de Datos: Colecciones como maps y lists. Programación asíncrona: Como realizar llamadas asíncronas a APIs y obtener datos de un servidor remoto. Conocimiento profundo del Framework de Flutter Comprender el desarrollo de Flutter y Dart a través de aplicaciones reales. Who this course is for: Si eres un desarrollador web, pero nunca has hecho desarrollo nativo mobile, entonces estás en el lugar indicado. Si no tienes ningún conocimiento en programación, es el curso ideal. ... 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Master Data Analysis with Python - Intro to Pandas .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 5.01 GB Duration: 5 hours | Genre: eLearning Video | Language: English Begin your data analysis journey with Python by mastering the fundamentals of the pandas library What you'll learn An introduction to data analysis with Python using pandas Data Types Filtering Data Requirements Description This course is taught by expert instructor Ted Petrou, author of the highly-rated book Pandas Cookbook. What you'll learn Best practices from pandas expert Ted Petrou author of Pandas Cookbook An introduction to data analysis with Python using pandas The DataFrame and Series and their components Data Types Selecting Subsets of Data Filtering Data Exercise Completion with a Jupyter Notebok Requirements Need to understand the basics of Python Description Master Data Analysis with Python - Intro to Pandas targets those who want to completely master doing data analysis with pandas. This course takes a deep dive into the two primary pandas objects, the DataFrame and Series, and how to select subsets of data from them. This course is taught by expert instructor Ted Petrou, author of the highly-rated book Pandas Cookbook. Ted has taught over 1,000 hours of live data science courses that use the pandas library. Pandas is a difficult library to use effectively and is often taught incorrectly with poor practices. Ted is extremely adept at using pandas and is known for developing best practices on how to use the library. There are nearly 50 exercises available to help practice the material taught from the lectures. Detailed video and text solutions for each of the exercises are available so that you can see exactly how Ted thinks through the exercises to arrive at a solution. All of the material and exercises are written in Jupyter Notebooks, which you will be able to . This allows you to read the notes, run the code, and write solutions to the exercises all in a single place. Additionally, the full contents of the course are available as a 120-page document giving you access to the material from anywhere. If you are looking to use pandas in a professional environment and command data at will, you will need to become an expert at using it. Employers demand expertise and this course will begin your mastery of using pandas. This course assumes no previous pandas experience. The only prerequisite knowledge is to understand the fundamentals of Python. 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Marketing Ethics MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 381 MB Genre: eLearning | Language: English Integrity is often a brand's biggest asset. To earn the trust of customers, marketers have to put ethics first. In this course, marketing expert Deirdre Breakenridge explains how to implement and reinforce ethical marketing practices that ensure your employees making decisions that are in the best interests of your company and your customers. First, learn how to analyze the ethics of your marketing organization and define what ethics means to your team and to the public. Then discover how to apply ethical practices to your current workflows and reinforce ethics at every step with training, testing, and metrics. Finally, Deirdre shares specific, real-world case studies that showcase both good and bad examples of ethics in marketing. DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/0C1172B17115551/jim6i.Marketing.Ethics.part1.rar http://nitroflare.com/view/58B3258E8360184/jim6i.Marketing.Ethics.part2.rar https://rapidgator.net/file/823621c3c0f8e8829b38d5dd6549e7f9/jim6i.Marketing.Ethics.part1.rar https://rapidgator.net/file/d75c9943c21d6937454a4df20084ae54/jim6i.Marketing.Ethics.part2.rar http://turbobit.net/b60eppw3g06p/jim6i.Marketing.Ethics.part1.rar.html http://turbobit.net/ca2ne63etioc/jim6i.Marketing.Ethics.part2.rar.html

Manual Photography Basics Video: .MP4, 1280x720 | Audio: AAC, 48kHz, 2ch | Duration: 10m Genre: eLearning | Language: English | Size: 185 MB The focus of this course is to talk about 3 major elements of photography. These 3 elements are ISO, aperture, and shutter speed. This very basic and very easy to consume information aimed at people who are coming from either smartphones or simple point and shoot who to take photography more seriously. ... DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/83E0E86020B5D10/f5tqj.Manual.Photography.Basics.rar https://rapidgator.net/file/e690eb676112da623a2c308060fc0691/f5tqj.Manual.Photography.Basics.rar http://turbobit.net/x0y4g5urtog5/f5tqj.Manual.Photography.Basics.rar.html

Maniac Cop 2 1990 720p BluRay H264 AAC RARBG 1.06 GB | 01:27:22 | 1500 Kbps | AVC | 23.976 fps Genres: Crime, Horror, Action, Thriller iMDB info : A supernatural, maniac killer cop teams up with a Times Square serial killer. Director: William Lustig DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/8C9826DCC937401/xwqoq.Maniac.Cop.2.1990.720p.BluRay.H264.AAC.RARBG.mp4 https://rapidgator.net/file/51279595cc35be13fce23b9a4daed617/xwqoq.Maniac.Cop.2.1990.720p.BluRay.H264.AAC.RARBG.mp4 http://turbobit.net/klfm7c1y2y7l/xwqoq.Maniac.Cop.2.1990.720p.BluRay.H264.AAC.RARBG.mp4.html

Maniac Cop 2 1990 1080p BluRay x264 KaKa 6.55 GB | 01:27:22 | 9223 Kbps | V_MPEG4/ISO/AVC | 23.976 fps Genres: Crime, Horror, Action, Thriller iMDB info : A supernatural, maniac killer cop teams up with a Times Square serial killer. Director: William Lustig DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/45B4EAED2BE98E8/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part1.rar http://nitroflare.com/view/E92B0926D869B0F/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part2.rar http://nitroflare.com/view/1723D4FEA83CA85/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part3.rar http://nitroflare.com/view/E707673641A1C4D/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part4.rar https://rapidgator.net/file/039876352fb44039b522cee7fad676eb/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part1.rar https://rapidgator.net/file/ac36608d395608ce530fc73c275c772d/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part2.rar https://rapidgator.net/file/4963332f6d5d65f6f1525329347c9dc9/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part3.rar https://rapidgator.net/file/94089ac430d95d6041281d6f58231528/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part4.rar http://turbobit.net/xca6fci5mrvd/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part1.rar.html http://turbobit.net/7qd814sysedj/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part2.rar.html http://turbobit.net/g7pumbu6exqu/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part3.rar.html http://turbobit.net/exsf3go4966x/2g7wz.Maniac.Cop.2.1990.1080p.BluRay.x264.KaKa.part4.rar.html

Maniac Cop 2 1990 1080p BluRay H264 AAC RARBG 1.67 GB | 01:27:22 | 2500 Kbps | AVC | 23.976 fps Genres: Crime, Horror, Action, Thriller iMDB info : A supernatural, maniac killer cop teams up with a Times Square serial killer. Director: William Lustig DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/619B1B562F1989B/k5u15.Maniac.Cop.2.1990.1080p.BluRay.H264.AAC.RARBG.mp4 https://rapidgator.net/file/c064fb22c9ce5c080c2c1ebd5bc84c50/k5u15.Maniac.Cop.2.1990.1080p.BluRay.H264.AAC.RARBG.mp4 http://turbobit.net/vvq1sgiw60bd/k5u15.Maniac.Cop.2.1990.1080p.BluRay.H264.AAC.RARBG.mp4.html

Managing EC2 and VPC: AWS with Python and Boto3 Series MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4.5 Hours | 1.32 GB Genre: eLearning | Language: English In this course, we'll start by taking a look at the tools and the environment that we need to work with AWS resources. We will teach you how you can set up your environment on both MacOS and Windows. Once we're ready with our environment setup, we'll start implementing our solution on AWS.Then we will create two subnets; Public and Private.We will develop a startup bash script to automatically run when we launch our EC2 Instance. In this script, we will first update our packages with yum package manager so we can stay up-to-date with the latest updates and security patches. Then we will install a HTTP server on it and make sure it's working by a startup check command. After we prepare our HTTP server, we will develop a simple HTML page as a greeting and we will write this page to disk to be served when we try to access our Public EC2 Instance. And remember, we will again do all of this with our Python code! After finishing up launching our EC2 Instances, we'll move on to learn how to describe EC2 Instances on AWS in detailed way; from their IP addresses to the subnet which they belong to. Then we'll learn how to learn how to manage EC2 Instances in various ways. We'll Stop, Start and Terminate EC2 Instances and again the best part is we will do all of that with our Python code! All the code and caption files for this course are available at: https://github.com/PacktPublishing/Managing-EC2-and-VPC-AWS-with-Python-and-Boto3-Series DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/26AE774A586FFDF/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part1.rar http://nitroflare.com/view/F7060BCFB8E6DDF/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part2.rar http://nitroflare.com/view/B9D9974CD2E51E3/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part3.rar http://nitroflare.com/view/19D15D1D14D825E/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part4.rar https://rapidgator.net/file/bf759ca2de2bcdcd852c5a914b8fa61b/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part1.rar https://rapidgator.net/file/6fa497a69254a9f67fc23ecc45069424/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part2.rar https://rapidgator.net/file/b93a3cc8dca71f2e940001c405902563/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part3.rar https://rapidgator.net/file/a164ef71e501aca21265bf41ae3d5cd1/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part4.rar http://turbobit.net/flt96s5r9uby/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part1.rar.html http://turbobit.net/g0rk7jnmishl/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part2.rar.html http://turbobit.net/451rh0ctn1zp/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part3.rar.html http://turbobit.net/i737q1ilv3hn/zc963.Managing.EC2.and.VPC.AWS.with.Python.and.Boto3.Series.part4.rar.html

Make it with Clay! Video: .MP4, 1280x720 | Audio: AAC, 44kHz, 2ch | Duration: 1.5h Genre: eLearning | Language: English | Size: 1,83 GB This class isn't just for beginners, it will also help those who have experience with clay. It's like doing lay up drills even though you already know how to play basketball. I'm going to break down each project and each skill so that you can be confident in your practice. I've been doing this a long time and can help you avoid common mistakes made by new ceramic artists. We'll have fun learning pinch, coil and slab construction as we make both pottery and sculpture. Since I have both a teaching degree and a MFA in Ceramics you can trust me to help you, Make it with Clay! What you'll learn We'll start making pottery with basic pinch pots but then we'll learn a number of ways to transform those into cups, bowls and a variety of sculptures. Then we'll move on to other ceramic methods like coil, slab and glazing methods. Are there any course requirements or prerequisites? No prior knowledge necessary, but you'll need a few pounds of clay, a needle tool, fettling knife and serrated rib. You'll also need access to a kiln; many community centers will fire your work for a fee. Who this course is for: This course is designed for the at home learner with tips thrown in for beginning ceramics teachers who want to freshen up their curriculum. You don't need a whole art studio, just a corner of your kitchen or garage and access to a kiln. There are often community centers and pottery shops that will fire your work for a small fee. ... DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/E62D734A4F9952A/q9zf8.Make.it.with.Clay.part1.rar http://nitroflare.com/view/E672703CA9C28A5/q9zf8.Make.it.with.Clay.part2.rar https://rapidgator.net/file/45ee61ce9dfd371b88bc9096fe67df8d/q9zf8.Make.it.with.Clay.part1.rar https://rapidgator.net/file/17198e3f970cc847325f0ce85178d510/q9zf8.Make.it.with.Clay.part2.rar http://turbobit.net/dyvtchm0cw9m/q9zf8.Make.it.with.Clay.part1.rar.html http://turbobit.net/u0fnwj37tqac/q9zf8.Make.it.with.Clay.part2.rar.html

Make a travel sketchbook after your trip Video: .MP4, 1280x720 | Audio: AAC, 44kHz, 2ch | Duration: 35m Genre: eLearning | Language: English | Size: 664 MB Have you ever tried to draw while traveling with non-drawers ? Do you feel like you're disturbing them while drawing ? Did you get frustrated of not fulfilling your sketchbook during your trip ? Then this class is for you. In this Skillshare class you will learn how to make a travel sketchbook once you're back home. In this 40 mn class we'll cover all topics from writing a roadmap of your trip, collecting images, choosing your layout, tools and materials, drawing, inking and adding watercolor. We will discuss about frontpage and cover as well. This class is meant for intermediate and advanced levels as it assumes you have basic skills of sketching and watercolor. I used watercolor in my sketchbook but you can use whatever medium you like: colored pencils, gouache, acrylic painting, crosshatching. Your project will be to create a travel sketchbook about a short trip you made : holidays, visiting friends or family, business trip. You'll have a sketchbook filled with memories that you will treasure for a long time. ... DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/73342E36E07AD04/1smin.Make.a.travel.sketchbook.after.your.trip.rar https://rapidgator.net/file/8e4706affe7ac6772011bda0c2be1c38/1smin.Make.a.travel.sketchbook.after.your.trip.rar http://turbobit.net/zuwoex6kr4sy/1smin.Make.a.travel.sketchbook.after.your.trip.rar.html

Make Unity 3D interactive games with Fungus - no coding! MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 8 Hours | Lec: 43 | 1.19 GB | Language: English + Sub .VTT Make Branching narrative, point & click and hidden object games all without writing code. What you'll learn You will have a Full working knowledge of Fungus and how it integrates with Unity. You will be able to create narrative story games, point and click adventures and hidden object games. You will be able to publish your games to Unity's webplayer and WebGL and have them on your own website, publish them to Android and IOS versions (if you have a Apple developer Licence) and sell them through Google play or the apple store. Most importantly you will be able to do all of this without writing one line of code. Requirements A Mac or PC that is capable of running Unity 3D. The latest version of Unity 3D (we will talk you through download and install on the course). The latest Version of Fungus (We will talk you through download and install on the course). Description This course is aimed at anyone who wants to make interactive story based games, but, who doesnt' know how to code. Fungus is a free Unity 3D plugin that allows non coders (like me) access to some of Unity's core features. This course has been updated to include changes & updates to Fungus 3.6 If you have never used game development software, or if you have struggled with code trying to make games, Fungus and this course are exactly what you need. So what specifically will we learn?: In no particular order. Unity: A working knowledge of the Unity interface, Importing and managing assets / Images / Audio / Animation etc. Fungus: A full working knowledge of fungus how to combine commands, Use variables etc. All without code. Control the camera: camera moves / fades etc. Control sound: add music / spot sound effects / control volume. Sprites: affect their visibility & movement. Branching Narrative: create custom characters, dialogs & menus. Clickable Sprites: Create buttons that interact with the scene. Drag & Drop: Create draggable sprites that interact with the scene. Mecanim Animation: Add animation to the scene and control it. With all of the above mentioned elements we will create a short branching narrative game, where two characters talk to one another and you are presented with choices to influence the story. The narrative section leads into a hidden object point and click adventure, we will explore an interactive environment with clickable images, draggable and droppable objects and an animated character reacting to specific conditions. Who this course is for? If you don't know how to code and want to make Interactive Story Games. This course is for you. If you're an artist, illustrator or writer and would like to delve into game development in an easy and approachable manner, this course if for you. If you have struggled with code to create games in unity, this course is for you. If you're able to code and know your way round unity and love the joy of a visual coding interface, this course is for you. Homepage https://anonymz.com/?https://www.udemy.com/make-interactive-games-with-fungus-unity3d-no-coding-required/ ... DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/AF13C5925C24C90/1jr4z.Make.Unity.3D.interactive.games.with.Fungus..no.coding.part1.rar http://nitroflare.com/view/7E5E4937D792F4C/1jr4z.Make.Unity.3D.interactive.games.with.Fungus..no.coding.part2.rar https://rapidgator.net/file/56b1e1df452fa8397f391887570ed394/1jr4z.Make.Unity.3D.interactive.games.with.Fungus..no.coding.part1.rar https://rapidgator.net/file/933036a4f6a91b0f33badc3ae1297503/1jr4z.Make.Unity.3D.interactive.games.with.Fungus..no.coding.part2.rar http://turbobit.net/d9vuvjlm9n14/1jr4z.Make.Unity.3D.interactive.games.with.Fungus..no.coding.part1.rar.html http://turbobit.net/lk24nylzm0es/1jr4z.Make.Unity.3D.interactive.games.with.Fungus..no.coding.part2.rar.html

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + .VTT | Duration: 1.5 hour | Size: 622 MB Ecommerce Website Development (Front End) What you'll learn Responsive Web Page Development E-commerce Website Front Page Design Product Page Front End Development Product Widget Front End Development Requirements Basic Knowledge of HTML CSS Basic Knowledge of Bootstrap Description Learn to create modern looking eCommerce website front end with HTML, CSS and Bootstrap. You should have basic knowledge of HTML, CSS and Bootstrap before starting this course. You will learn to create eCommerce website front page design and single product page design. You can find my project code in the course. Who this course is for: Beginner Front End Developer Beginner Web Developer DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/3FAAB56993730DA/wij4e.Make.Ecommerce.Website.FrontEnd.Using.HTML.CSS.Bootstrap.rar https://rapidgator.net/file/9fc097d0af8ff4291611d3c6f2d3f935/wij4e.Make.Ecommerce.Website.FrontEnd.Using.HTML.CSS.Bootstrap.rar http://turbobit.net/i354t8z21wyy/wij4e.Make.Ecommerce.Website.FrontEnd.Using.HTML.CSS.Bootstrap.rar.html

Mainframe The Complete JCL Course from Beginner to Expert MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 4.5 Hours | Lec: 61 | 1.33 GB | Language: English + Sub .VTT Become an expert on JCL. Jcls are used for COBOL Programs. Procedures, Utilities, GDG and basics of TSO/ISPF are covered What you'll learn Create your own JCL and execute it. Ultimate package of source code of at least 20 utilities and JCL. To clear the jobs interview on JCL Compile a COBOL program and run it using a JCL Understand JOB, EXEC and DD statements and code it by yourself Master the Keyword and positional parameters Requirements You should have a PC with internet connection If you have a mainframe id then it will be beneficial but it is not necessary No Previous programming language is required If you are aware of TSO commands then it will be beneficial, some basic TSO commands are also covered in this course. Description "Welcome to the Most In-Depth and Quality Content Course "Mainframe: The Complete JCL Course from Beginner to Expert" from a Real Expert with more than 15 years of Experience." The Course is full of quality content which you will not find anywhere in the Internet Learn from an Expert who has a passion of training The Course covers Real Training with the aim to provide knowledge which is similar to corporate training. You can download all the JCL which is used in this course. Want to understand JCL with no previous coding experience and are confused on joining which course on JCL to understand from the basics to advanced level? You have come to the right place. This is the most complete and in depth Course on JCL considered in UDEMY. If you do not believe me, Please have a look at the Course content carefully and ask few questions from yourself? Is the Course taught by a real time expert? I have more than 20 years of experience as an Instructor and more than 10 years of experience on Mainframe.I firmly believe that if an Instructor does not have a good experience, he/she will flood the course with poor content. Is the Course content clear and Precise? I bet you will not get a better Course content than this. Please have a look at all the courses and choose wisely. Will the Course be In-depth? The Course covers In-Depth knowledge on JCL. The amount of Knowledge which is covered in this course is great. How is the quality of the Content? In Mainframes, there are lot of low quality content which is spread through out the internet. Be wise in choosing the course which has the best content which is presented in a good way to provide maximum output. The Course assumes no prior knowledge on Mainframes and teaches you from absolute beginners. Most of my students personally messages me about their success with this Course. Once you Enroll for this Course, you get a life time access to this course and you will get all the future updates. you also get a Certification of Completion once you complete the Course. Who this course is for? Anyone who wants to master JCL can take up this course. This teaches JCL from Scratch to Advanced level If you have knowledge on Mainframe then it will be beneficial but if you don't know what are Mainframe, i have explained about mainframes at the beginning of the course. Basic TSO/ISPF commands will be useful but is not necessary Homepage https://anonymz.com/?https://www.udemy.com/the-complete-jcl-course-from-beginner-to-expert-on-mainframe/ ... DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/867238B1F49F076/f7ttz.Mainframe.The.Complete.JCL.Course.from.Beginner.to.Expert.part1.rar http://nitroflare.com/view/E9D323B684F8807/f7ttz.Mainframe.The.Complete.JCL.Course.from.Beginner.to.Expert.part2.rar https://rapidgator.net/file/23db4e0e765674ebc85b7e2eed89955f/f7ttz.Mainframe.The.Complete.JCL.Course.from.Beginner.to.Expert.part1.rar https://rapidgator.net/file/08373e5314a5c25d3fdfeab83f22bb7b/f7ttz.Mainframe.The.Complete.JCL.Course.from.Beginner.to.Expert.part2.rar http://turbobit.net/xap7kg9tir06/f7ttz.Mainframe.The.Complete.JCL.Course.from.Beginner.to.Expert.part1.rar.html http://turbobit.net/fvrwarcwrkh1/f7ttz.Mainframe.The.Complete.JCL.Course.from.Beginner.to.Expert.part2.rar.html

Mainframe: The Complete COBOL Course From Beginner To Expert BESTSELLER | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 9.5 Hours | Lec: 92 | 4.27 GB | Language: English + Sub .VTT Become an Expert on COBOL Programs by coding it. Run COBOL Programs with JCL. Basic TSO/ISPF operations are also covered What you'll learn Execute COBOL Program with confidence Develop COBOL Programs along the way as you take the program Build a strong knowledge base on COBOL from Scratch to Advanced level To be able to clear the Job interviews on Cobol Programmed to debug the program and to check for any errors for a program Advance, boost and expand the skill set on COBOL if you have a fair understanding of COBOL Redesign and code a Particular program in multiple ways This course does not include VSAM. This Course also include a section on COBOL-DB2 and I have coded some COBOL DB2 Programs as well. Requirements You should have a PC with internet connection If you have a mainframe id then it will be beneficial but it is not necessary You should know at least the basics of TSO/ISPF and JCL. I have provided few basic TSO/ISPF commands and some amount of JCL as well. If you are not comfortable, you can take my courses on TSO/ISPF and JCL first before taking this course. The Course also contains COBOL DB2 programs towards the end of the course and to code this, you should have basic idea of the DDL and DML operations in DB2. Description 'Udemy COBOL Course with best ratings and review-Best Seller'. -> Get the COBOL Certification which you can showcase in your CV. -> Best COBOL Online Training ever. "This the Best Seller Course on Udemy and it is also the highest Rated course on Udemy" "There's a reason this course is a bestseller and highest rated on Udemy..." Do you want to start on COBOL but have no experience on COBOL? If you have some prior knowledge on COBOL or if are a complete fresher, you are at the right place. The Course teaches you COBOL right from Scratch to Advanced level. What makes this Course unique and Best Seller? Well, the course have everything you need to master COBOL Programming. If you want to build a career in Mainframe, then COBOL is a 'MUST TO HAVE' skill. There's no risk involved in taking this Course! This course comes with a 30 day money-back guarantee. I am sure that this is the best course on COBOL and you can compare the content which is provided in this course against any COBOL Course and I guarantee you that you will not get such a good structured content anywhere. Still, if you are not completely satisfied with the course, please let us know and we will provide the refund without asking any question. What if you are stuck? I personally answer all the questions which is asked here. If you are stuck anywhere, ask a question or you can message me directly and i will answer all your doubts. Are you getting updated content? Yes, I keep updating the content always to make sure, i provide all the information to my students. Is CICS Included in this course? No, this course does not include CICS at this point of time. Who this course is for? Anyone who wants to master COBOL can take up this course. This teaches COBOL from Scratch to Advanced level If you have knowledge on Mainframe then it will be beneficial but if you don't know what are Mainframe, i have explained about mainframes at the beginning of the course. Basic TSO/ISPF commands and basic knowledge of JCL will be useful but is not necessary The Course also contains COBOL DB2 programs towards the end of the course and to code this, you should have basic idea of the DDL and DML operations in DB2. Homepage https://anonymz.com/?https://www.udemy.com/mainframe-the-complete-cobol-course-from-beginner-to-expert/ ... 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Machine Learning in Mobile Applications MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 15M | 671 MB Genre: eLearning | Language: English Machine learning is reaching the mainstream. With the new tools available to developers, it's now possible to implement machine learning features-voice, face, and image recognition; personalized recommendations; and more-in a mobile context. This course explores how to apply the power of machine learning to mobile app development, using platforms such as IBM Watson, Microsoft Azure Cognitive Services, and Apple Core ML. Instructor Kevin Ford demos each product, reviewing the different features and approaches to machine learning. He shows how to train and deploy models for natural language and visual recognition and how to generate statistical models for use in a Xamarin application. In chapter five, he compares client-side and server-side models and explains when a developer might choose one platform over another. hitfile DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/07174529BD45003/o2koy.Machine.Learning.in.Mobile.Applications.part1.rar http://nitroflare.com/view/56D562C1E098675/o2koy.Machine.Learning.in.Mobile.Applications.part2.rar http://nitroflare.com/view/1B4ADC2F2313AA9/o2koy.Machine.Learning.in.Mobile.Applications.part3.rar https://rapidgator.net/file/6a0283e226372bae9c6a33503a827152/o2koy.Machine.Learning.in.Mobile.Applications.part1.rar https://rapidgator.net/file/65d6d6662e683c36a5d4d20c5a70096a/o2koy.Machine.Learning.in.Mobile.Applications.part2.rar https://rapidgator.net/file/32ef2ee13e5839713f050af35f1f97ed/o2koy.Machine.Learning.in.Mobile.Applications.part3.rar http://turbobit.net/4smyou0pvdnl/o2koy.Machine.Learning.in.Mobile.Applications.part1.rar.html http://turbobit.net/1gyp3rnfx3j6/o2koy.Machine.Learning.in.Mobile.Applications.part2.rar.html http://turbobit.net/727dvxvk3umc/o2koy.Machine.Learning.in.Mobile.Applications.part3.rar.html

Machine Learning and AI: Support Vector Machines in Python Lazy Programmer Inc. | Duration: 8 h 47 m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 3,19 GB | Language: English + .vtt | 2019 Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression Support Vector Machines (SVM) are one of the most powerful machine learning models around, and this topic has been one that students have requested ever since I started making courses. These days, everyone seems to be talking about deep learning, but in fact there was a time when support vector machines were seen as superior to neural networks. One of the things you'll learn about in this course is that a support vector machine actually is a neural network, and they essentially look identical if you were to draw a diagram. The toughest obstacle to overcome when you're learning about support vector machines is that they are very theoretical. This theory very easily scares a lot of people away, and it might feel like learning about support vector machines is beyond your ability. Not so! In this course, we take a very methodical, step-by-step approach to build up all the theory you need to understand how the SVM really works. We are going to use Logistic Regression as our starting point, which is one of the very first things you learn about as a student of machine learning. So if you want to understand this course, just have a good intuition about Logistic Regression, and by extension have a good understanding of the geometry of lines, planes, and hyperplanes. ... DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/94A25EAB787EB8D/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part1.rar http://nitroflare.com/view/D683846A446205C/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part2.rar http://nitroflare.com/view/8A2D8CB2911B52A/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part3.rar http://nitroflare.com/view/60F414BF9F2E053/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part4.rar https://rapidgator.net/file/cbc1e26b620a4768eab5797aae3ea415/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part1.rar https://rapidgator.net/file/7dce455dbd180045795750328bcaee65/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part2.rar https://rapidgator.net/file/408fe7406618433bd6139c28e7465fcd/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part3.rar https://rapidgator.net/file/2dca344e00fb0902a6ec94979cab7942/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part4.rar http://turbobit.net/s5vok9ddd3r6/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part1.rar.html http://turbobit.net/1rcpz4ts1ern/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part2.rar.html http://turbobit.net/hispkwuq90gk/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part3.rar.html http://turbobit.net/9yihkmgmgt4l/9q0gd.Machine.Learning.and.AI.Support.Vector.Machines.in.Python.part4.rar.html

Machine Learning Terminology & Process For Beginners MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch Genre: eLearning | Language: English + .VTT | Duration: 3.5 hour | Size: 1.61 GB Learn Machine Learning Terminology & Process and gain solid understanding along with hand-on labs. Master 5 Steps of ML What you'll learn Fundamentals of Machine Learning Terminology & Process Learn how to frame a machine learning problem and when to use machine learning Prepare and develop machine learning data sets Gain solid understanding of feature engineering and data visualizations Work with model training and evaluation Learn about business goal evaluation See machine learning prediction, and much more.... Use Python in AWS Rekognition Requirements Basic statistic concept are desirable but not required AWS account for free tier requires a credit card Machine learning with AWS is not free. Watchful eye on billing alerts must be kept Description In the world of Artificial Intelligence and Machine Learning with Cloud Computing and Big Data - Learn Machine Learning Terminology & Process For Beginners step-by-step while gaining solid understanding hands-on - Bringing you the latest technologies with up-to-date knowledge. Are you new to machine learning? Are you looking to enhance you skills within the AWS ecosystem or perhaps pursue AWS certifications? Look no further - learn and acquire new skills with this Machine Learning Terminology & Process For Beginners course. Course Description Welcome to Machine Learning Terminology & Process For Beginners - A one of its kind course! It is not only a comprehensive course, you are will not find a course similar to this. Note: AWS Machine learning is not free. Please note that you may incur additional costs from AWS. In this course, you'll learn and practice: Basic machine learning terminology and process Learn how to frame a machine learning problem and when to use machine learning Prepare and develop data sets Gain solid understanding of feature engineering and data visualizations Work with model training and evaluation Learn about business goal evaluation See machine learning prediction, and much more.... In this course, you will also get complete resources, and code where applicable with this course! We've built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything! So, if you would like to: - Gain solid understanding of Machine Learning, this course is for you - Gain marketable skills as an IT expert and professional, this course is for you - This course is not designed for intermediate or advanced level students ...this Machine Learning Terminology & Process For Beginners is exactly what you need, and more. (You'll even get a certification of completion) What out students say... See what our students say "It is such a comprehensive course that I don't need to take any other course but this one to learn all of Machine Learning processes and important terminology along with demos - Absolutely worth it" - Chavez "This is such an awesome course. I loved every bit of it - Wonderful learning experience!" Jill Neumann. Join thousands of other students and share valuable experience Why take this course? As a senior Project Manager & Web developer, managing and deploying enterprise level IT projects, along with a Microsoft Certified Systems Engineer & Trainer, my experience with Machine Learning projects has been phenomenally great! I am excited to share my knowledge and transfer skills to my students. Enroll now in Machine Learning Terminology & Process For Beginners today and revolutionize your learning. Stay at the cutting edge of enterprise cloud computing - and enjoy bigger, brighter opportunities. See you in class! Syed & Team ClayDesk Who this course is for: Beginner machine learning data engineers or data analysts Anyone who wants to learn and gain solid understanding of machine learning ... DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/6230F11CF5E27AE/h5142.Machine.Learning.Terminology..Process.For.Beginners.part1.rar http://nitroflare.com/view/FEB605E2012FC57/h5142.Machine.Learning.Terminology..Process.For.Beginners.part2.rar https://rapidgator.net/file/d60de67b4dfc52b5eacd5c18345386ec/h5142.Machine.Learning.Terminology..Process.For.Beginners.part1.rar https://rapidgator.net/file/ef0286b684bc7a56e21980a54a6cfd53/h5142.Machine.Learning.Terminology..Process.For.Beginners.part2.rar http://turbobit.net/qikpnuizkyg4/h5142.Machine.Learning.Terminology..Process.For.Beginners.part1.rar.html http://turbobit.net/daedytar4m2s/h5142.Machine.Learning.Terminology..Process.For.Beginners.part2.rar.html

Machine Learning Basics: Building a Regression model in R .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 2.75 GB Duration: 6 hours | Genre: eLearning Video | Language: English Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in R. Learn how to solve real life problem using the Linear Regression technique Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in R. What you'll learn Learn how to solve real life problem using the Linear Regression technique Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm Understand how to interpret the result of Linear Regression model and translate them into actionable insight Understanding of basics of statistics and concepts of Machine Learning Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem Learn advanced variations of OLS method of Linear Regression Course contains a end-to-end DIY project to implement your learnings from the lectures How to convert business problem into a Machine learning Linear Regression problem How to do basic statistical operations in R Advanced Linear regression techniques using GLMNET package of R Graphically representing data in R before and after analysis Requirements Students will need to install R and R studio software but we have a separate lecture to help you install the same Description The course "Machine Learning Basics: Building a Regression model in R" teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems. Below is a list of popular FAQs of students who want to start their Machine learning journey- What is Machine Learning? Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. What is the Linear regression technique of Machine learning? Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value. Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x). When there is a single input variable (x), the method is referred to as simple linear regression. When there are multiple input variables, the method is known as multiple linear regression. Why learn Linear regression technique of Machine learning? There are four reasons to learn Linear regression technique of Machine learning: 1. Linear Regression is the most popular machine learning technique 2. Linear Regression has fairly good prediction accuracy 3. Linear Regression is simple to implement and easy to interpret 4. It gives you a firm base to start learning other advanced techniques of Machine Learning How much time does it take to learn Linear regression technique of machine learning? Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression. What are the steps I should follow to be able to build a Machine Learning model? You can divide your learning process into 4 parts: Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part. Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the R environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in R Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture in R where we actually run each query with you. Why use R for data Machine Learning? Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R 1. It's a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it's not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing. 2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it's easy to find answers to questions and community guidance as you work your way through projects in R. 5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier - and of course, it'll also make you a more flexible and marketable employee when you're looking for jobs in data science. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge-and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. What's special about this course? The course is created on the basis of three pillars of learning: Know (Study) Do (Practice) Review (Self feedback) Know We have created a set of concise and comprehensive videos to teach you all the Regression related skills you will need in your professional career. Do We also provide Exercises to complement the learning from the lecture video. These exercises are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job. Review Check if you have learnt the concepts by executing your code and analyzing the result set. Ask questions in the discussion board if you face any difficulty. The Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of Regression analysis in today's corporate world. Who this course is for: People pursuing a career in data science Working Professionals beginning their Data journey Statisticians needing more practical experience Anyone curious to master Linear Regression from beginner to advanced in short span of time hitfile DOWNLOAD (Buy premium account for maximum speed and resuming ability) http://nitroflare.com/view/E2D571E67AA2D89/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part1.rar http://nitroflare.com/view/C08ABF06B2FC37C/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part2.rar http://nitroflare.com/view/0B570B544D0302B/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part3.rar http://nitroflare.com/view/C9A043F4009A508/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part4.rar http://nitroflare.com/view/AA0E6FB3EF2E073/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part5.rar http://nitroflare.com/view/4A12D262E2DB2ED/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part6.rar https://rapidgator.net/file/c8e62c58d2d9e1bf011d546b1d6874d4/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part1.rar https://rapidgator.net/file/dd1b6e8f677f554569f56b22bd3aa5b5/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part2.rar https://rapidgator.net/file/3f57d924e53d1d9827d413b8854711c4/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part3.rar https://rapidgator.net/file/18f96af59786b575a85dea7eadc996d0/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part4.rar https://rapidgator.net/file/8eecaac9dbe3128aae2e677da604b1cc/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part5.rar https://rapidgator.net/file/d023eab945b5948895746c6e6c91bc7d/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part6.rar http://turbobit.net/dkx0y5uo579d/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part1.rar.html http://turbobit.net/svsjczstdd1b/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part2.rar.html http://turbobit.net/no2uuv7d64ow/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part3.rar.html http://turbobit.net/rf2buedxnbmc/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part4.rar.html http://turbobit.net/ivo86ljzjo0u/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part5.rar.html http://turbobit.net/lj4r9v4sx54x/401nn.Machine.Learning.Basics.Building.a.Regression.model.in.R.part6.rar.html

Machine Learning Basics: Building Regression Model in Python .MP4 | Video: 1280x720, 30 fps® | Audio: AAC, 44100 Hz, 2ch | 2.65 GB Duration: 7.5 hours | Genre: eLearning Video | Language: English Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in Python. Learn how to solve real life problem using the Linear Regression technique Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in Python. What you'll learn Learn how to solve real life problem using the Linear Regression technique Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm Understand how to interpret the result of Linear Regression model and translate them into actionable insight Understanding of basics of statistics and concepts of Machine Learning Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem Learn advanced variations of OLS method of Linear Regression Course contains a end-to-end DIY project to implement your learnings from the lectures How to convert business problem into a Machine learning Linear Regression problem Basic statistics using Numpy library in Python Data representation using Seaborn library in Python Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python Requirements Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same Description The course "Machine Learning Basics: Building Regression Model in Python" teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems. Below is a list of popular FAQs of students who want to start their Machine learning journey- What is Machine Learning? Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. What is the Linear regression technique of Machine learning? Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value. Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x). When there is a single input variable (x), the method is referred to as simple linear regression. When there are multiple input variables, the method is known as multiple linear regression. Why learn Linear regression technique of Machine learning? There are four reasons to learn Linear regression technique of Machine learning: 1. Linear Regression is the most popular machine learning technique 2. Linear Regression has fairly good prediction accuracy 3. Linear Regression is simple to implement and easy to interpret 4. It gives you a firm base to start learning other advanced techniques of Machine Learning How much time does it take to learn Linear regression technique of machine learning? Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression. What are the steps I should follow to be able to build a Machine Learning model? You can divide your learning process into 4 parts: Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part. Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you. Why use Python for data Machine Learning? Understanding Python is one of the valuable skills needed for a career in Machine Learning. Though it hasn't always been, Python is the programming language of choice for data science. Here's a brief history: In 2016, it overtook R on Kaggle, the premier platform for data science competitions. In 2017, it overtook R on KDNuggets's annual poll of data scientists' most used tools. In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals. Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it's nice to know that employment opportunities are abundant (and growing) as well. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge-and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. What's special about this course? The course is created on the basis of three pillars of learning: Know (Study) Do (Practice) Review (Self feedback) Know We have created a set of concise and comprehensive videos to teach you all the Regression related skills you will need in your professional career. Do We also provide Exercises to complement the learning from the lecture video. These exercises are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job. Review Check if you have learnt the concepts by executing your code and analyzing the result set. Ask questions in the discussion board if you face any difficulty. The Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of Regression analysis in today's corporate world. 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