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About the Book

This 'Green' edition is actively maintained and will be subject to updates. Purchasers have permanent access to the very latest version and (should) be notified by email when an updated version for download is available.

The book covers the following topics in the context of supervised learning for tabular data:

1. Introduction 

2. Statistics

3. Exploratory data analysis (EDA)

4. Data cleaning

5. Cross-validation

6. Interpolation and smoothing

7. Regression

8. Classification

9. Ensemble estimators

10. Hyperparameter optimization (HPO)

11. Feature engineering and selection

12. Why no neural networks/deep learning?

Format: This book has an A4 (210 x 297 mm / 8.3 x 11.7 in) page size, suitable for printing, and the pages are `long' (i.e. narrow top and bottom margins) so as to facilitate uninterrupted scrolling when read on a tablet.


About the Author

Carl McBride Ellis’s avatar Carl McBride Ellis

Carl is a freelance data scientist based in Madrid, Spain.

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