This repository contains the code and documentation for a machine learning project focused on classifying 1-year patient mortality following a heart attack. The goal is to leverage machine learning techniques to analyze patient data and predict the likelihood of mortality within the first year post-heart attack.
- Python 3.x
- Libraries: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, etc. (Specify versions in
requirements.txt
orenvironment.yml
)
-
Clone the repository:
git clone https://github.com/your-username/heart-attack-mortality-classification.git cd heart-attack-mortality-classification
-
Install dependencies:
pip install -r requirements.txt