Book Image

R Machine Learning Projects

By : Dr. Sunil Kumar Chinnamgari
Book Image

R Machine Learning Projects

By: Dr. Sunil Kumar Chinnamgari

Overview of this book

R is one of the most popular languages when it comes to performing computational statistics (statistical computing) easily and exploring the mathematical side of machine learning. With this book, you will leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. This book will help you test your knowledge and skills, guiding you on how to build easily through to complex machine learning projects. You will first learn how to build powerful machine learning models with ensembles to predict employee attrition. Next, you’ll implement a joke recommendation engine and learn how to perform sentiment analysis on Amazon reviews. You’ll also explore different clustering techniques to segment customers using wholesale data. In addition to this, the book will get you acquainted with credit card fraud detection using autoencoders, and reinforcement learning to make predictions and win on a casino slot machine. By the end of the book, you will be equipped to confidently perform complex tasks to build research and commercial projects for automated operations.
Table of Contents (12 chapters)
The Road Ahead

Building AEs with the H2O library in R

We will be using the AE implementation available in H2O for our project. H2O is a fully open source, distributed, in-memory ML platform with linear scalability. It offers parallelized implementations of some of the most widely used ML algorithms. It supports an easy to use, unsupervised, and non-linear AE as part of its deep learning model. The DL AE of H2O is based on the multilayer neural net architecture, where the entire network is trained together, instead of being stacked layer by layer.

The h2o package can be installed in R with the following command:

Additional details on the installation and dependencies of H2O in R are available at this URL:

Once the package is installed successfully, the functions offered by the h2o package, including the...