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Soumyapro/Heart-Disease-Prediction

This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.

Heart Disease Prediction Using Logistic Regression

Model Performance

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).

Table of Contents

  1. Project Overview
  2. Dataset
  3. Setup and Installation

Project Overview

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.

Dataset

The dataset used in this project is framingham.csv.

Setup and Installation

  1. Clone the Repository:
    git clone https://github.com/Soumyapro/heart-disease-prediction.git
    cd heart-disease-prediction

Languages

Jupyter Notebook100.0%

Contributors

Created August 19, 2024
Updated August 22, 2024