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https://github.com/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.
https://github.com/soumyapro/heart-disease-prediction

logistic-regression numpy pandas simpleimputer sklearn

Last synced: 15 days ago
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This project is aimed at predicting the likelihood of coronary heart disease (CHD) in individuals over the next ten years using Logistic Regression.

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# Heart Disease Prediction Using Logistic Regression
![Model Performance](h1.jpg)

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](#project-overview)
2. [Dataset](#dataset)
3. [Setup and Installation](#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:**
```sh
git clone https://github.com/Soumyapro/heart-disease-prediction.git
cd heart-disease-prediction