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13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection)

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Dec 11, 2021
19:52

Sebastian's books: https://sebastianraschka.com/books/ Sorry, I had some issues with the microphone (a too aggressive filter to remove background noise). Should be better in the next vids! Description: This video dives into "filter methods" for feature selection. In particular, we focus on using a variance threshold to select informative features. Code: https://github.com/rasbt/stat451-machine-learning-fs21/blob/main/13-feature-selection/01_variance-threshold.ipynb Slides: https://sebastianraschka.com/pdf/lecture-notes/stat451fs20/13_feat-sele__slides.pdf ------- This video is part of my Introduction of Machine Learning course. Next video: https://youtu.be/_aGWjt7GKBE 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

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13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection) | NatokHD