This project aims to develop a machine-learning model to predict whether a patient has heart disease or not based on attributes like age, sex, cholesterol level, blood pressure, etc.
- Python 3
- Jupyter Notebook
- Scikit-learn
- Pandas
- NumPy
- Matplotlib
- Clone the repository.
git clone https://github.com/iamharshvardhan/Heart-Disease-Classification.git - Open the Heart_Disease_Classification.ipynb Jupyter Notebook.
- Run the cells in the notebook to train and evaluate the machine-learning model.
The machine learning model (RandomForestClassifier) achieves an accuracy of 92% on the test set.
This project is licensed under the MIT License.