R Machine Learning Projects
The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as unsupervised learning approaches.
Offered by
Difficulty Level
Intermediate
Completion Time
11h8m
Language
English
About Book
Who Is This Book For?
If 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.
R Machine Learning Projects
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h8m total length
Exploring the Machine Learning Landscape
Predicting Employees Attrition using Ensemble models
Implementing a Jokes Recommendation Engine
Sentiment Analysis of Amazon Reviews with NLP
Customer Segmentation Using Wholesale Data
Image Recognition using Deep Neural Network
Credit Card Fraud Detection Using Autoencoders
Automatic Prose Generation with Recurrent Neural Networks
Winning the Casino Slot Machine with Reinforcement Learning
Appendix
Related Resources
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