Early draft of our “Feature Engineering and Selection” book

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Kjell and I are writing another book on predictive modeling, this time focused on all the things that you can do with predictors. It’s about 60% done and we’d love to get feedback. You cna take a look at http://feat.engineering and provide feedback at https://github.com/topepo/FES/issues.

The current TOC is:

1. Introduction
2. Illustrative Example: Predicting Risk of Ischemic Stroke
3. A Review of the Predictive Modeling Process
4. Exploratory Visualizations
5. Encoding Categorical Predictors
6. Engineering Numeric Predictors
7. Detecting Interaction Effects (these later chapters are not finished yet)
8. Flattening Profile Data
9. Handling Missing Data
10. Feature Engineering Without Overfitting
11. Feature Selection

(This article was originally posted at http://appliedpredictivemodeling.com)