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.
Here are the set of articles:
- An Introduction
- Filter Methods
- Wrapper Methods
- Embedded Methods
- Hybrid Methods
- More Advanced Methods
You should have the following librariesand softwares installed on your PC alongside with Python:
- Pandas
- Numpy
- Sklearn
- Matplotlib
- Jupyter notebook
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.
This project is licensed under the MIT License - see the LICENSE.md file for details