https://github.com/glennx1/heartdrive
ML-powered heart disease predictor using Streamlit, featuring data preprocessing, visualization, and user input interface.
https://github.com/glennx1/heartdrive
matplotlib pandas python scikit-learn seaborn streamlit
Last synced: about 2 months ago
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ML-powered heart disease predictor using Streamlit, featuring data preprocessing, visualization, and user input interface.
- Host: GitHub
- URL: https://github.com/glennx1/heartdrive
- Owner: Glennx1
- Created: 2025-04-05T05:44:12.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-05T06:18:53.000Z (about 1 year ago)
- Last Synced: 2025-04-09T19:36:10.789Z (about 1 year ago)
- Topics: matplotlib, pandas, python, scikit-learn, seaborn, streamlit
- Language: Python
- Homepage:
- Size: 1.05 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
🫀 Heart Disease Prediction using Machine Learning
This project aims to predict the risk of cardiovascular disease using machine learning models trained on medical and lifestyle data. The dataset used is based on the Cardio Dataset from Kaggle.
📁 Project Structure
├── cardio_train.csv # Training dataset
├── cardiotest.csv # Test dataset
├── heart.py # Python script with model training and prediction
└── README.md # Project documentation
🧠 Models Used
The project includes implementation and comparison of the following models:
Logistic Regression
Random Forest
📊 Features
The dataset includes the following features:
Age
Gender
Height, Weight, BMI
Systolic and Diastolic Blood Pressure
Cholesterol and Glucose Levels
Smoking, Alcohol Intake, Physical Activity
Cardiovascular Disease (Target)