This is the code repository for Mastering Machine Learning with R - Second Edition, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more.

All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

> bestglm(Xy = biopsy.cv, IC="CV",
 CVArgs=list(Method="HTF", K=10,
 REP=1), family=binomial)

As R is free and open source software, you will only need to download and install it from https://www.r-project.org/. Although it is not mandatory, it is highly recommended that you download IDE and RStudio from https://www.rstudio.com/products/RStudio/.

• Machine Learning with R - Second Edition

• Mastering Machine Learning with scikitlearn - Second Edition

• System Center 2012 R2 Virtual Machine Manager Cookbook - Second Edition

Click here if you have any feedback or suggestions.

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781787287471