❤️ Cardiovascular Disease Prediction

📖 Overview

Binary classification model to predict cardiovascular disease risk using patient health metrics including blood pressure, cholesterol, glucose levels, lifestyle factors, and medical history.

🎯 Features

• CVD risk prediction
• Risk factor analysis
• Early detection support
• Preventive care insights

🛠️ Tech Stack

• Scikit-learn, XGBoost
• Pandas, NumPy
• Matplotlib, Seaborn

🚀 Usage

git clone https://github.com/adityavdn/Cardiovascular-Disease-Prediction.git
pip install -r requirements.txt
jupyter notebook

📊 Health Metrics

• Blood Pressure, Cholesterol
• Glucose, BMI
• Age, Smoking Status
• Physical Activity

👤 Author

Aditya Vardhan | MSc Data Science

📄 License

MIT License

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📌 Keywords

Healthcare Cardiovascular Disease Medical Prediction Classification Machine Learning