https://github.com/solegalli/feature-selection-with-feature-engine-book

Code repository for the book Feature engineering with Feature-engine
https://github.com/solegalli/feature-selection-with-feature-engine-book

feature-selection feature-selection-methods machine-learning machine-learning-algorithms machine-learning-tutorials

Last synced: 8 months ago
JSON representation

Code repository for the book Feature engineering with Feature-engine

• Host: GitHub
• URL: https://github.com/solegalli/feature-selection-with-feature-engine-book
• Owner: solegalli
• License: other
• Created: 2022-08-23T10:05:03.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-04-27T16:27:21.000Z (about 2 years ago)
• Last Synced: 2025-05-07T08:48:37.330Z (about 1 year ago)
• Topics: feature-selection, feature-selection-methods, machine-learning, machine-learning-algorithms, machine-learning-tutorials
• Language: Jupyter Notebook
• Homepage: https://www.trainindata.com/p/feature-selection-in-machine-learning-book
• Size: 2.32 MB
• Stars: 14
• Watchers: 1
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Awesome Lists containing this project

README

          
![PythonVersion](https://img.shields.io/badge/python-3.6%20|3.7%20|%203.8%20|%203.9-success)

[![License https://github.com/solegalli/feature-selection-in-machine-learning/blob/main/LICENSE](https://img.shields.io/badge/license-BSD-success.svg)](https://github.com/solegalli/feature-selection-in-machine-learning/blob/main/LICENSE)

[![Sponsorship https://www.trainindata.com/](https://img.shields.io/badge/Powered%20By-TrainInData-orange.svg)](https://www.trainindata.com/)

## Feature Selection with Feature-engine Book - Code Repository

Published August, 2022

[](https://leanpub.com/feature-selection-machine-learning-feature-engine)

## Links

- [Book](https://leanpub.com/feature-selection-machine-learning-feature-engine)

## 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