agniramadani/HeartDiseaseRiskPrediction

The goal of the project is to develop and assess machine learning models for predicting heart disease risk. We employed Logistic Regression, Random Forest, and XGBoost to build and evaluate these models using a Kaggle dataset.

Jupyter Notebook