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 can be used to support regression ML problems using Python.
Version 9 of the templates contain minor adjustments and corrections to the prevision version of the templates. Also, the new templates added or updated the sample code to support:
- More streamlined email function using the operating system’s environment variables
- Updated code for the Synthetic Minority Over-sampling Technique (SMOTE) transformation
- The addition of eXtreme Gradient Boosting (XGBOOST) algorithm
You will find the Python templates from the Machine Learning Project Templates page.