#89: Scikit-learn 86:Supervised Learning 64: Feature selection

Описание к видео #89: Scikit-learn 86:Supervised Learning 64: Feature selection

The video discusses the code for feature selection methods in Scikit-learn in Python.

Timeline
(Python 3.8)

00:00 - Outline of video
00:41 - Open Jupyter notebook
01:09 - Data
01:46 - Remove features with low variance
02:51 - Univariate feature selection: .SelectKBest(): classification
06:10 - Univariate feature selection: .SelectKBest(): regression
07:48 - Data: .load_iris()
08:23 - Sequential feature selection: Forward selection
12:20 - SelectFromModel
14:18 - Pipeline
18:20 - Plot feature importance: using .ExtraTreesClassifier()
20:47 - Ending notes

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