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

Sebastian Raschka

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

14 139 просмотров · 4 года назад
Sebastian Raschka
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14 139 просмотров · 4 года назад
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-mach... 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:    • 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