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https://github.com/enyaude/california_house_price_prediction
Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.
https://github.com/enyaude/california_house_price_prediction
jupyter-notebook linear-regression python random-forest scikit-learn streamlit
Last synced: 6 days ago
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Developed a California house price prediction model utilizing linear regression and Random Forest, and applied machine learning techniques such as Ridge, and Lasso for optimization in Python.
- Host: GitHub
- URL: https://github.com/enyaude/california_house_price_prediction
- Owner: Enyaude
- Created: 2024-09-17T13:50:10.000Z (about 2 months ago)
- Default Branch: master
- Last Pushed: 2024-09-17T14:37:55.000Z (about 2 months ago)
- Last Synced: 2024-10-16T19:52:57.497Z (21 days ago)
- Topics: jupyter-notebook, linear-regression, python, random-forest, scikit-learn, streamlit
- Language: Python
- Homepage:
- Size: 170 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files: