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Year
2024
Tech & Technique
Python, Logistic Regression, Sci-Kit Learn, Numpy, Pandas, Matplotlib
Description
I built the Heart Disease Predictor as an AI-powered tool to assess heart disease risk. Using Python, Scikit-learn, SHAP, and Streamlit, I developed an app that takes clinical inputs and predicts the likelihood of heart disease. I trained a Logistic Regression model on the UCI dataset and used SHAP for explainability. The app also visualizes feature importance and gives health tips based on risk level.
Feel free to check out the live demo or dive into the GitHub repo using the icons above for all the code, technical details, and full documentation.
Feel free to check out the live demo or dive into the GitHub repo using the icons above for all the code, technical details, and full documentation.
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