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Collection of machine learning projects showcasing data preprocessing, model development, evaluation, and deployment using Python.

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πŸ€– ML_Project

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.


πŸš€ How to Navigate Projects (Using Branches)

  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.

πŸ“‚ Branch List

Branch Name Description
main Overview and instructions
house-price-predict House Price Prediction

πŸ’‘ Each branch contains its own README with setup instructions, datasets used, and key results.


πŸ› οΈ Tech Stack

  • Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn)
  • Jupyter Notebooks / VS Code
  • Streamlit / Flask (for deployment in some branches)
  • Git & GitHub (version control and collaboration)

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Collection of machine learning projects showcasing data preprocessing, model development, evaluation, and deployment using Python.

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