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Predictive Analysis of Heart Disease Using Machine Learning

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Heart Disease UCI – Predictive ML

Setup

pip install -r requirements.txt

## Train
python -m src.train


## Run Streamlit app
streamlit run app/streamlit_app.py


Notes

Dataset: Heart Disease UCI (Kaggle)
Models: Logistic Regression, Decision Tree, Random Forest, SVM
Metrics: Accuracy, Precision, Recall, F1, ROC-AUC
Hyperparameter tuning: GridSearchCV (RandomForest)

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