Practical Machine Learning in R
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    • 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
    • WILEY END USER LICENSE AGREEMENT

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