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 Scikit-Learn.
Version 15 of the Scikit-Learn templates contains minor adjustments and corrections to the prevision version of the model. The updated templates include the following:
- Introduced example code segments for splitting one original datasets into training, validation, and test datasets
- Introduced example code segments for pre-processing and scaling data with Scikit-Learn’s pipeline
You will find the Python templates on the Machine Learning Project Templates page.