R Machine Learning Projects

R Machine Learning Projects
Authors
Chinnamgari, Sunil Kumar
Publisher
Packt Publishing Limited
ISBN
9781789807943
Date
2019-01-14T00:00:00+00:00
Size
10.54 MB
Lang
en
Downloaded: 281 times

Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more

Key FeaturesMaster machine learning, deep learning, and predictive modeling concepts in R 3.5

Build intelligent end-to-end projects for finance, retail, social media, and a variety of domains

Implement smart cognitive models with helpful tips and best practicesBook DescriptionR 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.

What you will learnExplore deep neural networks and various frameworks that can be used in R

Develop a joke recommendation engine to recommend jokes that match users' tastes

Create powerful ML models with ensembles to predict employee attrition

Build autoencoders for credit card fraud detection

Work with image recognition and convolutional neural networks

Make predictions for casino slot machine using reinforcement learning

Implement NLP techniques for sentiment analysis and customer segmentationWho this book is forIf you're a data analyst, data scientist, or machine learning developer who wants to master machine learning concepts using R by building real-world projects, this is the book for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this book.

Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.