google-logistic-regression. A minimal, dataset-agnostic implementation for training, evaluating, and deploying logistic regression models. Built for enterprise production with configuration-driven experiments, comprehensive model persistence, and dual API/CLI interfaces. Expanding on Google's ML Crash Course implementations.

Problem

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Audience

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Market

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Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.