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Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
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Code and Data Sets for Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn and Kjell Johnson (2019).

Right now, the content is a beta version that has undergone outside review but we'd like to get comments before finalizing it. It has not gone through copyediting to date.

The repo currently contains:

Other directories will contain code that reproduces the analyses in the book. Some analyses are contained in since subdirectories or files while others are split up (as is best for each case). Each analysis has a list of required R packages and enumerates the package versions that were used for the analyses contained in the text. Most analyses use visualizations and tables that are consistent with the on-line version and are interactive where possible.

These code directories will be available as we finish the text.

For questions or comments, please file an issue.

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