Feature selection in machine learning | Full course

Full source code on GitHub: https://github.com/marcopeix/youtube_...

Introduction - 0:00
Initial code setup - 2:19
Variance threshold - 11:04
Variance threshold (code) - 13:02
Filter method - 19:39
Filter method (code) - 21:27
RFE - 29:08
RFE (code) - 30:42
Boruta - 37:12
Boruta (code) - 41:21
Thank you -  46:35

A full course on feature selection in machine learning projects.

We first cover a naive method based on variance. Then we move on to filter method and wrapper method like recursive feature elimination or RFE. Finally, implement the Boruta algorithm.