Feature selection in machine learning | Full course

Full source code on GitHub: https://github.com/marcopeix/youtube_tutorials/blob/main/YT_01_feature_selection.ipynb 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.