Yimeng-Zhang/feature-engineering-and-feature-selection
A guide covering feature engineering and feature selection techniques with Python implementations and examples in Jupyter notebooks.
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This repository provides a comprehensive educational guide on feature engineering and feature selection for machine learning practitioners. It includes implementations and examples in Python, organized as Jupyter notebooks, covering techniques like feature extraction, transformation, and selection methods. The content serves as reference material for improving ML model performance through better feature design.
Frequently asked
- What is Yimeng-Zhang/feature-engineering-and-feature-selection?
- A guide covering feature engineering and feature selection techniques with Python implementations and examples in Jupyter notebooks.
- Is feature-engineering-and-feature-selection open source?
- Yes — Yimeng-Zhang/feature-engineering-and-feature-selection is an open-source project tracked on heatdrop.
- What language is feature-engineering-and-feature-selection written in?
- Yimeng-Zhang/feature-engineering-and-feature-selection is primarily written in Jupyter Notebook.
- How popular is feature-engineering-and-feature-selection?
- Yimeng-Zhang/feature-engineering-and-feature-selection has 1.7k stars on GitHub.
- Where can I find feature-engineering-and-feature-selection?
- Yimeng-Zhang/feature-engineering-and-feature-selection is on GitHub at https://github.com/Yimeng-Zhang/feature-engineering-and-feature-selection.