This project predicts heart disease using various machine learning models, including k-NN, Logistic Regression, Decision Tree, Bagging, and AdaBoosting.
Run the main script:
- python heart_disease_prediction.py
Follow the on-screen menu to choose between different models and options.
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
- K-NN Classifier
- Logestic Regression
- Decision Tree
- Bagging Function
- AdaBoost Function
- Histograms, Correlation Matrix, and Box Plots
This example includes essential information like project overview, usage instructions, dataset details, dependencies, custom functions. Customize it further based on your specific project requirements.