❤️ Heart Disease Prediction Using Machine Learning

Created by CodeWithMehru

This project is a Machine Learning-based application that predicts the likelihood of heart disease using multiple algorithms such as:

• Decision Tree
• Random Forest
• K-Nearest Neighbors (KNN)
• Support Vector Machine (SVM)
• K-Means Clustering

The dataset used is heart.csv, which contains medical attributes commonly associated with cardiovascular health.

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🚀 How to Run

1. Install the required libraries:

pip install pandas numpy scikit-learn matplotlib

python3 heartdieseaspredictor.py

python3 decesiontreee.py
python3 knn.py
python3 svm.py
python3 randomforest.py
python3 kmean.py

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📊 Dataset Information

The dataset contains features such as:

Age

Sex

Cholesterol

Fasting Blood Sugar

Max Heart Rate

Chest Pain Type

Oldpeak

Resting ECG

Slope

CA

Thal

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✨ Features

Multi-algorithm comparison

Clean ML workflow

Beginner-friendly

Good for portfolio, college submission, or GitHub

📌 Author

💻 Developed by: CodeWithMehru