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Index
Copyright
Brief Table of Contents
Table of Contents
Foreword
Preface
Acknowledgments
About this Book
About the Cover Illustration
Part 1. Introduction to data science
Chapter 1. The data science process
Chapter 2. Loading data into R
Chapter 3. Exploring data
Chapter 4. Managing data
Part 2. Modeling methods
Chapter 5. Choosing and evaluating models
Chapter 6. Memorization methods
Chapter 7. Linear and logistic regression
Chapter 8. Unsupervised methods
Chapter 9. Exploring advanced methods
Part 3. Delivering results
Chapter 10. Documentation and deployment
Chapter 11. Producing effective presentations
Appendix A. Working with R and other tools
Appendix B. Important statistical concepts
Appendix C. More tools and ideas worth exploring
Bibliography
Index
List of Figures
List of Tables
List of Listings
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