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: 6 months 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.

• Host: GitHub
• URL: https://github.com/soumyapro/heart-disease-prediction
• Owner: Soumyapro
• Created: 2024-08-19T17:19:36.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-22T03:56:14.000Z (about 1 year ago)
• Last Synced: 2025-04-07T14:47:52.341Z (6 months ago)
• Topics: logistic-regression, numpy, pandas, simpleimputer, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 870 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 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