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Feature Selection for Machine Learning


Welcome to Feature Selection for Machine Learning, the most comprehensive course on feature selection available online. In this course, you will learn how to select the variables in your data set and build simpler, faster, more reliable and more interpretable machine learning models. Who is this course for? You've given your first steps into data science, you know the most commonly used machine learning models, you probably built a few linear regression or decision tree based models. You are familiar with data pre-processing techniques like removing missing data, transforming variables, encoding categorical variables.

Feature Selection for Machine Learning Udemy


Learn how to select features and build simpler, faster and more reliable machine learning models. This is the most comprehensive, yet easy to follow, course for feature selection available online. Throughout this course you will learn a variety of techniques used worldwide for variable selection, gathered from data competition websites and white papers, blogs and forums, and from the instructor's experience as a Data Scientist. You will have at your fingertips, altogether in one place, multiple methods that you can apply to select features from your data set. The course starts describing simple and fast methods to quickly screen the data set and remove redundant and irrelevant features.

R Programming for Statistics and Data Science 2021


If you have experience in any programming language, it takes 7 days to learn R programming spending at least 3 hours a day. If you are a beginner, it takes 3 weeks to learn R programming. R Programming is a skill you need if you want to work as a data analyst or a data scientist in your industry of choice. Data scientist is the hottest ranked profession in the US. But to do that, you need the tools and the skill set to handle data.

Get started with R -Introduction to R-programming #Beginners


This is a R crash course for anyone who previously had no or very little contact with script-based programming in R. The main goal is to establish the basic understanding needed for more advanced courses that uses R language, RStudio and R-programming for example, for data science, machine learning or statistical analysis in R. The best about this course that is a very concise manner (less than2 hours!) you will be able to learn all the fundamentals of R-programming that will allow you to get started with R! The course is ideal for professionals such as data scientists, statisticians, geographers, programmers, social scientists, geologists, and all other experts who need to use statistics & data science in their field. This course is NOT for you if you an intermediate or advanced user of R and don't need an introduction to R programming!

HTML: A Beginner's Guide, 5th Edition [PDF] - Programmer Books


Thoroughly updated and revised, HTML: A Beginner's Guide, Fifth Edition shows you, step by step, how to create a dynamic website using HTML. The book covers new HTML5 features, including video, audio, and canvas elements. Learn how to structure a page, place images, format text, create links, add color, work with multimedia, and use forms. You'll also go beyond the basics and find out how to work with Cascading Style Sheets (CSS), create dynamic web content with JavaScript, upload your site to the web, and code HTML emails. By the end of the book, you'll be able to build custom websites using the latest HTML techniques.