feature-selection-with-feature-engine-book

Code repository for the book Feature engineering with Feature-engine

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Ecosystems: Jupyter Notebook

Feature Selection with Feature-engine Book - Code Repository

Published August, 2022

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Table of Contents

  1. Basic Selection Methods

    1. Removing Constant Features
    2. Removing Quasi-Constant Features
    3. Removing Duplicated Features

  2. Correlation Feature Selection

    1. Removing Correlated Features
    2. Smart Correlation

  3. Univariate Methods

    1. Single feature classifier
    2. Target mean encoding

  4. Other Feature Selection Methods

    1. Feature Shuffling
    2. Recursive Feature Elimination
    3. Recursive Feature Addition
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License https://github.com/solegalli/feature-selection-in-machine-learning/blob/main/LICENSE Sponsorship https://www.trainindata.com/
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