Classification Modeling

This is a straightforward primer on classification modeling that covers the essentials: what it is, when to use it, and the main types you'll encounter. It's pitched at helping AI agents understand classification tasks like churn prediction, fraud detection, or multi-class categorization. The overview is clean and the use cases are practical (spam filters, medical diagnosis, credit scoring). It won't teach you the math or how to tune hyperparameters, but as a quick reference for framing classification problems to an AI coding assistant, it does the job. The repo has 245 stars and passes security audits, so it's established enough to trust for prompt templates.