Kiru Lab / Classical Machine Learning

Classification and Decision Boundaries

Logistic regression, trees, and what a boundary tells you about a model's assumptions.

In this module you will

Implement logistic regression and interpret its coefficients
Read a decision boundary as a statement of inductive bias
Choose a metric that survives class imbalance

Logistic Regression and the Softmax

The classifier that never left. Its output layer is the output layer of every language model.

Code Walkthrough · 35m

Boundaries, Trees, and Choosing a Metric

Different models draw different shapes. Different metrics reward different mistakes.

Hands-On Lab · 35m

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