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.

1. Go to the main repo page on GitHub.
2. Click on the "Branch" dropdown near the top-left corner (above the file list).
3. Select the branch corresponding to the project you're interested in.

💡 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)