Logistic Regression
In plain terms
A model predicting probabilities for binary outcomes.
Going deeper
Despite its name, logistic regression is a classification method that outputs probabilities via the sigmoid function. It's a simple, interpretable baseline.
Under the hood
Linear in log-odds; fast, interpretable, and a strong baseline before complex models.
Examples
Spam detection, churn prediction, medical diagnosis, baselines.
Think of it like...
Like a dial estimating the chance of yes-or-no based on weighted evidence.