This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression. The dataset includes various health-related features to predict whether a patient will develop CHD (1) or not (0).
The heart disease prediction model is built using Logistic Regression, which is well-suited for binary classification tasks. The goal is to classify individuals with a high risk of CHD in upcoming ten years.
The dataset used in this project is framingham.csv.
- Clone the Repository:
git clone https://github.com/Soumyapro/heart-disease-prediction.git cd heart-disease-prediction