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Statistical Application Development with R and Python - Second Edition

You're reading from  Statistical Application Development with R and Python - Second Edition

Product type Book
Published in Aug 2017
Publisher
ISBN-13 9781788621199
Pages 432 pages
Edition 2nd Edition
Languages
Toc

Table of Contents (19) Chapters close

Statistical Application Development with R and Python - Second Edition
Credits
About the Author
Acknowledgment
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Data Characteristics 2. Import/Export Data 3. Data Visualization 4. Exploratory Analysis 5. Statistical Inference 6. Linear Regression Analysis 7. Logistic Regression Model 8. Regression Models with Regularization 9. Classification and Regression Trees 10. CART and Beyond Index

Summary


The chapter began with two important variations of the CART technique, looking at the bagging technique and random forests. The random forest particularly is a very modern technique invented in 2001 by Breiman. The goal of the chapter was to familiarize the reader with these modern techniques.

Together with the German credit data and the complete revision of the techniques with the low birth weight problem, I hope that you benefitted a lot from the book, and have gained enough confidence to apply these tools to your analytical problems.

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