Collection of machine learning projects showcasing data preprocessing, model development, evaluation, and deployment using Python.
Each project is organized into a separate branch for better modularity and focus.
- Go to the main repo page on GitHub.
- Click on the "Branch" dropdown near the top-left corner (above the file list).
- Select the branch corresponding to the project you're interested in.
| Branch Name | Description |
|---|---|
main |
Overview and instructions |
house-price-predict |
House Price Prediction |
💡 Each branch contains its own README with setup instructions, datasets used, and key results.
- Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn)
- Jupyter Notebooks / VS Code
- Streamlit / Flask (for deployment in some branches)
- Git & GitHub (version control and collaboration)