https://github.com/younes-charfaoui/feature-selection-techniques
Python code source for features selection 👨🔬 series on medium website. 📰
https://github.com/younes-charfaoui/feature-selection-techniques
autoencoder data-science deep-learning embedded-methods feature-engineering feature-selection filter-methods jupyter-notebook machine-learning machinelearning-python pandas python series sklearn wrapper-methods
Last synced: about 1 month ago
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Python code source for features selection 👨🔬 series on medium website. 📰
- Host: GitHub
- URL: https://github.com/younes-charfaoui/feature-selection-techniques
- Owner: Younes-Charfaoui
- License: mit
- Created: 2019-09-04T21:21:16.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2020-02-11T19:59:51.000Z (about 5 years ago)
- Last Synced: 2025-03-17T11:03:01.393Z (about 2 months ago)
- Topics: autoencoder, data-science, deep-learning, embedded-methods, feature-engineering, feature-selection, filter-methods, jupyter-notebook, machine-learning, machinelearning-python, pandas, python, series, sklearn, wrapper-methods
- Language: Jupyter Notebook
- Homepage:
- Size: 207 KB
- Stars: 42
- Watchers: 1
- Forks: 22
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Hands-on with Feature Selection Techniques 👩🔬
Get to know the features selection techniques in a hands-on way, Throughout the series, we’ll explore a range of different methods and techniques used to select the best set of features that will help you build a simpler, faster, and more reliable machine learning models.
## Getting Started ✅ 💯
Here are the set of articles:
- [An Introduction](https://heartbeat.fritz.ai/hands-on-with-feature-selection-techniques-an-introduction-1d8dc6d86c16)
- [Filter Methods](https://heartbeat.fritz.ai/hands-on-with-feature-selection-techniques-filter-methods-f248e0436ce5)
- [Wrapper Methods](https://heartbeat.fritz.ai/hands-on-with-feature-selection-techniques-wrapper-methods-5bb6d99b1274)
- [Embedded Methods](https://heartbeat.fritz.ai/hands-on-with-feature-selection-techniques-embedded-methods-84747e814dab)
- [Hybrid Methods](https://heartbeat.fritz.ai/hands-on-with-feature-selection-techniques-hybrid-methods-b93b1b06d3a5)
- [More Advanced Methods](https://heartbeat.fritz.ai/hands-on-with-feature-selection-techniques-more-advanced-methods-234f2e501be7)
### Prerequisites 📝
You should have the following librariesand softwares installed on your PC alongside with Python:
- Pandas
- Numpy
- Sklearn
- Matplotlib
- Jupyter notebook
### Contributing 💡
If you want to contribute to this project and make it better with new ideas, your pull request is very welcomed.
If you find any issue just make an issue in the repository issue section, thanks a lot.
### Contact me Via 🙏
* [Twitter](https://www.twitter.com/CharfaouiYounes)
* [LinkedIn](https://www.linkedin.com/in/younes-charfaoui/)
* [Facebook](https://www.facebook.com/mxcsyounes)
## License 📝
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details