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 set of project templates that I use to experiment with modeling ML problems using Python and XGBoost.

Version 1 of the XGBoost templates contains structures and features that are similar to the Scikit-Learn templates. The XGBoost templates were designed to take a machine learning modeling exercise from beginning to end.

You will find the Python templates on the Machine Learning Project Templates page.

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