Phase 4

Phase 4 — ML foundations

Supervised learning, regression, classification, gradient descent, and evaluation—before neural networks for RL.

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Phase 4 answers: “How do we train models from data with gradient descent?”—the same machinery you will use inside RL training loops.

Linear and logistic regression, gradient descent, metrics, trees, and KNN. DQN and policy gradients reuse supervised-style losses and gradients.