This project is focused on building a machine learning model to predict the likelihood of diabetes using patient data. It's part of the AI Anatomy hackathon challenge.
- Data preprocessing & feature engineering
- Machine learning model training & evaluation
- Model explainability (e.g., SHAP, feature importance)
- Easy-to-read results and metrics
- Python 🐍
- Pandas, NumPy
- Scikit-learn
- Matplotlib / Seaborn
- [Add any others like XGBoost, LightGBM, etc.]
# Clone the repo
git clone (https://github.com/MedMdhaffar/AI_Anatomy)
# Create a virtual environment (optional)
python -m venv .
.\Scripts\activate
# Install dependencies
pip install -r requirements.txt
cd Src
# Run the model
streamlit run model.py
https://github.com/MedMdhaffar/AI_Anatomy