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Lesson 14    ❮    Lesson List    ❮    Top Page


◆  Intro to Feature Selection


◆  Statistics-based Methods 


◆  Dimensionality Reduction-based


◆  Information Theory-based


◈  Wrapper-type Methods


◆  Genetic Algorithm-based


⟐  Implementation

See also the following links:

▎ENGLISH

A comprehensive guide to Feature Selection using Wrapper methods in Python
▸ https://www.analyticsvidhya.com/blog/2020/10/a-comprehensive-guide-to-feature-selection-using-wrapper-methods-in-python/

Feature Selection for Machine Learning in Python — Wrapper Methods
▸ https://towardsdatascience.com/feature-selection-for-machine-learning-in-python-wrapper-methods-2b5e27d2db31


▎日 本 語

機械学習のための特徴量最適化
▸ https://www.rapidminer.jp/wp-content/uploads/2020/05/機械学習のための特徴量最適化.pdf

特徴量選択の今と新展開  >  教師ありの特徴量選択 > wrapper method
▸ https://aotamasaki.hatenablog.com/entry/2019/02/10/130647#wrapper-method

©2023. All rights reserved.  Samy Baladram,
Graduate Program in Data Science - GSIS - Tohoku University
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