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 modeling ML problems using Python.
Version 12 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:
- Added code to measure aggregated model training time. We can compare the aggregated model training time from different scripts to measure the effectiveness of our feature selection effort.
- Added sample code for feature scaling and data pre-processing
You will find the Python templates on the Machine Learning Project Templates page.