Logistic Regression
Domain: Math & Logic for AI
🎯 Motivation
A simple classification model using sigmoid to predict probabilities. The building block before neural networks.
📋 Concrete Example
Predict whether a student passes (1) or fails (0) based on study hours, using a sigmoid on a linear combination.
🔗 Analogy
Like a bouncer with a sliding scale - the more study hours you have, the higher your chance of getting in.