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 R.

Version 11 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:

• Re-organization of the training and test dataset naming scheme (X_train, y_train, X_test, y_test, etc.). Made changes to something that are more consistent with good industry practices.
• Re-organization of the feature selection and data transformation sections. Made changes to make the overall flow of the script more logical and consistent.

You will find the R templates from the Machine Learning Project Templates page.