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Implement Classic ML Algorithms

HardMachine Learning00:00
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Problem

Implement some of the classic machine learning algorithms.

Choose at least three supervised or unsupervised algorithms, implement their core training and prediction logic without calling an equivalent estimator, and evaluate them on appropriate datasets. Include numerical stability, input validation, configurable hyperparameters, and a comparison with trusted reference implementations where available. Explain the objective function, optimization method, computational complexity, and key failure modes for each algorithm.