This project applies concepts from Probability and Statistics using Python. We analyzed a heart disease dataset through:
- Data cleaning and exploration
- Visualizations using Seaborn & Matplotlib
- Statistical testing with SciPy
- Logistic Regression for prediction
- Model evaluation using accuracy, confusion matrix, and classification report
📊 Tools: Pandas, NumPy, Matplotlib, Seaborn, SciPy, scikit-learn