https://github.com/akshitvats026/heart_disease_prediction

An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.
https://github.com/akshitvats026/heart_disease_prediction

accuracy-score logistic-regression machine-learning matplotlib-pyplot numpy pandas python scikit-learn

Last synced: about 1 month ago
JSON representation

An ML-based Heart Disease Prediction System that predicts the likelihood of heart disease based on user health parameters. Built using Python, Pandas, and Scikit-learn, the system performs data preprocessing, trains a predictive model, and provides real-time predictions with high accuracy.

• Host: GitHub
• URL: https://github.com/akshitvats026/heart_disease_prediction
• Owner: Akshitvats026
• Created: 2025-09-07T19:46:29.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2025-09-07T19:55:00.000Z (about 2 months ago)
• Last Synced: 2025-09-07T21:30:16.583Z (about 2 months ago)
• Topics: accuracy-score, logistic-regression, machine-learning, matplotlib-pyplot, numpy, pandas, python, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 677 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# ❤️ Heart Disease Prediction System

![Python](https://img.shields.io/badge/Python-3.8-blue)

![Scikit-Learn](https://img.shields.io/badge/Scikit--Learn-0.24.2-orange)

![License](https://img.shields.io/badge/License-MIT-green)

---

## 🚀 Project Overview

A Machine Learning-based system to predict **Heart Disease** based on user input features.  

It uses supervised learning techniques to classify whether a person is at risk of heart disease or not.

---

## 🎯 Features

- ✅ User-friendly input interface  

- ✅ Data Preprocessing (Handling missing values, Scaling, Encoding)  

- ✅ Predictive ML Model: Logistic Regression / Decision Tree / Random Forest  

- ✅ Model Evaluation: Accuracy, Confusion Matrix  

- ✅ Real-time prediction based on user input  

---

## 🧱 Tech Stack

![Python](https://img.shields.io/badge/Python-3.8-blue)

![Scikit-Learn](https://img.shields.io/badge/Scikit--Learn-0.24.2-orange)

![Pandas](https://img.shields.io/badge/Pandas-1.2.4-brightgreen)

![NumPy](https://img.shields.io/badge/NumPy-1.19.5-yellow)

![Matplotlib](https://img.shields.io/badge/Matplotlib-3.3.4-red)

---

## ⚙️ How To Run

1. Clone the repository  

   ```bash

   git clone https://github.com/yourusername/heart-disease-prediction.git

---

🤝 Contributions

Contributions are welcome!

Please open an issue or submit a pull request.

👋 Contact

📧 Email: akshitvats026@gmail.com

🔗 LinkedIn:

#### https://www.linkedin.com/in/akshitvats026

---