CardioRisk Logistic Engine

Regularized Logistic Regression for Heart Disease Prediction

2 followers

Regularized Logistic Regression for Heart Disease Prediction

2 followers

CardioRisk-Logistic-Engine is a machine learning project built from scratch in Python. It implements regularized logistic regression, gradient descent optimization, and Z-score feature scaling to accurately predict heart disease risk based on clinical data parameters.

CardioRisk Logistic Engine gallery image

Free

Launch tags:Open Source•Developer Tools•Artificial Intelligence

Launch Team

AWS Startup AdvisorPersonalized AWS guidance that meets you where you’re already building

Promoted

Maker

📌

Hey Product Hunt community! 👋 I built CardioRisk-Logistic-Engine to create a clean, transparent, and fully custom implementation of regularized logistic regression from scratch in Python. Why I built this: Rather than relying purely on high-level black-box libraries, I wanted to implement the core mathematical foundations—gradient descent optimization, cost function regularization, and Z-score feature scaling—to accurately assess heart disease risk indicators. Key Highlights: Custom regularized logistic regression engine Feature normalization & scale alignment using Z-score Built purely with Python & standard numerical tools I’d love to get your feedback, suggestions, or ideas for improving the model or expanding its capabilities. Thanks for checking it out! 🚀

Report

2mo ago

Reviews