An end-to-end Machine Learning project that predicts the likelihood of heart disease in a person using the UCI Heart Disease dataset.
- Python
- Pandas, NumPy
- Matplotlib, Seaborn
- Scikit-learn
- Evaluation Metrics : Accuracy, Precision, Recall, F1-score, ROC Curve