Copyright Brief Table of Contents Table of Contents Praise for the First Edition Foreword Preface Acknowledgments About This Book About the Authors About the Foreword Authors About the Cover Illustration
Copyright
Brief Table of Contents
Table of Contents
Praise for the First Edition
Foreword
Preface
Acknowledgments
About This Book
About the Authors
About the Foreword Authors
About the Cover Illustration
1. Introduction to data science Chapter 1. The data science process Chapter 2. Starting with R and data Chapter 3. Exploring data Chapter 4. Managing data Chapter 5. Data engineering and data shaping 2. Modeling methods Chapter 6. Choosing and evaluating models Chapter 7. Linear and logistic regression Chapter 8. Advanced data preparation Chapter 9. Unsupervised methods Chapter 10. Exploring advanced methods 3. Working in the real world Chapter 11. Documentation and deployment Chapter 12. Producing effective presentations
1. Introduction to data science
Chapter 1. The data science process Chapter 2. Starting with R and data Chapter 3. Exploring data Chapter 4. Managing data Chapter 5. Data engineering and data shaping
Chapter 1. The data science process
Chapter 2. Starting with R and data
Chapter 3. Exploring data
Chapter 4. Managing data
Chapter 5. Data engineering and data shaping
2. Modeling methods
Chapter 6. Choosing and evaluating models Chapter 7. Linear and logistic regression Chapter 8. Advanced data preparation Chapter 9. Unsupervised methods Chapter 10. Exploring advanced methods
Chapter 6. Choosing and evaluating models
Chapter 7. Linear and logistic regression
Chapter 8. Advanced data preparation
Chapter 9. Unsupervised methods
Chapter 10. Exploring advanced methods
3. Working in the real world
Chapter 11. Documentation and deployment Chapter 12. Producing effective presentations
Chapter 11. Documentation and deployment
Chapter 12. Producing effective presentations
A. Starting with R and other tools B. Important statistical concepts C. Bibliography Practical Data Science with R
A. Starting with R and other tools
B. Important statistical concepts
C. Bibliography
Practical Data Science with R
Index
List of Figures
List of Tables
List of Listings