Home Page Icon
Home Page
Table of Contents for
Practical Data Science with R
Close
Practical Data Science with R
by Nina Zumel and John Mount
Practical Data Science with R
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
Search in book...
Toggle Font Controls
Playlists
Add To
Create new playlist
Name your new playlist
Playlist description (optional)
Cancel
Create playlist
Sign In
Email address
Password
Forgot Password?
Create account
Login
or
Continue with Facebook
Continue with Google
Sign Up
Full Name
Email address
Confirm Email Address
Password
Login
Create account
or
Continue with Facebook
Continue with Google
Prev
Previous Chapter
Cover
Next
Next Chapter
Copyright
Practical Data Science with R
Nina Zumel and John Mount
Add Highlight
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click
here
login for view all page.
Day Mode
Cloud Mode
Night Mode
Reset
