Module
Logistic Regression and Classification
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About
Sigmoid, Bernoulli likelihood, cross-entropy loss, decision boundaries, multi-class (softmax) sketch.
Goal
Implement binary logistic regression with gradient descent; plot decision boundary; report accuracy, precision/recall or log-loss on test data.
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