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Logistic Regression

Jun 27, 20269 min read

Can Linear Regression Solve Classification?

You're a loan officer at a community bank. You have records from eight recent applicants — some repaid their loans, some defaulted. Your manager wants a model:…

Tutorial

Jun 26, 202612 min read

Logistic Regression: Math Intuition

You're a loan officer who just learned that linear regression can't produce valid probabilities for classification. The fix is a function called the sigmoid — b…

Tutorial

Jun 26, 202610 min read

Classification Performance Metrics

Your logistic regression model outputs a probability — 0.95, 0.63, 0.08 — for each loan applicant. At some threshold you convert those to predictions: default o…

Tutorial

Jun 26, 20269 min read

Multiclass Logistic Regression: OvR (One vs Rest)

Your logistic regression model works well for two classes — default vs no default, malignant vs benign. But your new dataset has three iris species to classify:…

Tutorial

Jun 26, 20268 min read

Logistic Regression: Full Implementation

You've worked through the sigmoid, the cross-entropy loss, the gradient update, and the evaluation metrics. Now it's time to run logistic regression on a real d…