As I work on practicing and solving machine learning (ML) problems, I find myself repeating a set of steps and activities repeatedly.

Thanks to Dr. Jason Brownlee’s suggestions on creating a machine learning template, I have pulled together a project template that I use to experiment with modeling ML problems using Python and the XGBoost library.

Version 3 of the XGBoost templates contain updated structures and code like the previous XGBoost templates. I designed the templates to address regression, binary classification, and multi-class classification modeling exercises from beginning to end.

You will find the Python templates on the Analytics Project Templates page.