13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection) скачать в хорошем качестве

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

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-mach... Slides: https://sebastianraschka.com/pdf/lect... ------- This video is part of my Introduction of Machine Learning course. Next video:    • 13.3.1 L1-regularized Logistic Regression ...   The complete playlist:    • Intro to Machine Learning and Statistical ...   A handy overview page with links to the materials: https://sebastianraschka.com/blog/202... ------- If you want to be notified about future videos, please consider subscribing to my channel:    / sebastianraschka