https://github.com/ebadshabbir/autos1985_mutual_learning
This project analyzes the Automobile Dataset using Mutual Information Regression to determine feature importance in predicting car prices. Additionally, it includes data visualization using Seaborn to explore relationships between key features.
https://github.com/ebadshabbir/autos1985_mutual_learning
Last synced: 8 months ago
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This project analyzes the Automobile Dataset using Mutual Information Regression to determine feature importance in predicting car prices. Additionally, it includes data visualization using Seaborn to explore relationships between key features.
- Host: GitHub
- URL: https://github.com/ebadshabbir/autos1985_mutual_learning
- Owner: EbadShabbir
- Created: 2025-02-09T13:20:51.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-09T13:22:15.000Z (8 months ago)
- Last Synced: 2025-02-09T14:27:04.601Z (8 months ago)
- Language: Jupyter Notebook
- Size: 122 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Autos1985_mutual_learning
This project analyzes the Automobile Dataset using Mutual Information Regression to determine feature importance in predicting car prices. Additionally, it includes data visualization using Seaborn to explore relationships between key features.