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You're reading from Hands-On Ensemble Learning with R

Product type Book

Published in Jul 2018

Publisher Packt

ISBN-13 9781788624145

Pages 376 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Prabhanjan Narayanachar Tattar

Table of Contents (17) Chapters

Hands-On Ensemble Learning with R

Contributors

Preface

1. Introduction to Ensemble Techniques

2. Bootstrapping

3. Bagging

4. Random Forests

5. The Bare Bones Boosting Algorithms

6. Boosting Refinements

7. The General Ensemble Technique

8. Ensemble Diagnostics

9. Ensembling Regression Models

10. Ensembling Survival Models

11. Ensembling Time Series Models

12. What's Next?

Bibliography

Index

References

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