Practical Machine Learning in R
Practical Machine Learning in R
Introduction
WHAT DOES THIS BOOK COVER?
READER SUPPORT FOR THIS BOOK
Chapter 1: What Is Machine Learning?
Chapter 2:Introduction to R and RStudio
Chapter 3: Managing Data
Chapter 4 Linear Regression
Chapter 5: Logistic Regression
Chapter 7: Naïve Bayes
Chapter 8:Decision Trees
Chapter 9: Evaluating Performance
Chapter 10: Improving Performance
Chapter 11: Discovering Patterns with Association Rules
Chapter 12: Grouping Data with Clustering
About the Auhors
About the Technical Editors
Acknowledgments
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