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:
- Introduction
- Illustrative Example: Predicting Risk of Ischemic Stroke
- A Review of the Predictive Modeling Process
- Exploratory Visualizations
- Encoding Categorical Predictors
- Engineering Numeric Predictors
- Detecting Interaction Effects (these later chapters are not finished yet)
- Flattening Profile Data
- Handling Missing Data
- Feature Engineering Without Overfitting
- Feature Selection
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