/Heart-Disease-Prediction

This project develops a machine learning model to predict the likelihood of heart disease in patients. The model uses algorithms such as random forests and provides a probability score and feature importance analysis. The project includes data preprocessing scripts, model training code, and performance evaluation metrics.

Primary LanguageJupyter Notebook

Watchers