Skip to content

Notes and Exercises for 'Applied Predictive Modeling' (Kuhn and Johnson)

Notifications You must be signed in to change notification settings

rickhaffey/stats-apm

Repository files navigation

Applied Predictive Modeling - Notes & Exercises

by M. Kuhn and K. Johnson

Book Cover

Usage

Prep Data

In order to work with the data using Python based tools, we need a way to extract the data from the AppliedPredictiveModeling R package.

From within the repo:

mkdir data
cd computing-python
{path to R executable} < apm-export-data.r --vanilla

Credits

Thanks goes to Lei Gong for the great work put into the Python translations of many of the book's code examples (found here).

Although less comprehensive than Lei's work, in the ./computing-python notebooks, I've aimed to "minimally" reproduce the "Computing" sections from the book, using Python rather than R. Lei's notebooks have been an awesome resource helping me to identify approaches for doing that.

About

Notes and Exercises for 'Applied Predictive Modeling' (Kuhn and Johnson)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published