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CardioRisk Logistic Engine
Regularized Logistic Regression for Heart Disease Prediction
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.
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! 🚀
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About CardioRisk Logistic Engine on Product Hunt
“Regularized Logistic Regression for Heart Disease Prediction”
CardioRisk Logistic Engine was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #125 on the daily leaderboard. 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 was featured in Open Source (68.9k followers), Developer Tools (519.8k followers), Artificial Intelligence (479.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 252.7k products, making this a competitive space to launch in.
Who hunted CardioRisk Logistic Engine?
CardioRisk Logistic Engine was hunted by Yamen Abu Hilal. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Yamen Abu Hilal