13.4.5 Sequential Feature Selection -- Code Examples (L13: Feature Selection)

Sebastian's books: https://sebastianraschka.com/books/ This final video in the "Feature Selection" series shows you how to use Sequential Feature Selection in Python using both mlxtend and scikit-learn. Jupyter notebook: https://github.com/rasbt/stat451-machine-learning-fs21/blob/main/13-feature-selection/08_sequential-feature-selection.ipynb Timestamps: 00:00 Dataset setup and KNN baseline 04:08 Selecting the best 5 features 10:18 Inspecting the results 13:40 Selecting the best subset of any size 17:29 Exhaustive search 21:12 Sequential feature selection in scikit-learn ------- This video is part of my Introduction of Machine Learning course. The complete playlist: https://www.youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3 A handy overview page with links to the materials: https://sebastianraschka.com/blog/2021/ml-course.html ------- If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka