Module
Python, NumPy, and Data Handling
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About
Idiomatic NumPy for ML (broadcasting, vectorization), loading simple datasets, and plotting learning curves. Builds on UCLA CS 31/32-style programming.
Goal
Load a tabular dataset, implement train/val/test splits in pure Python/NumPy, vectorize a linear predictor, and plot loss vs. epoch.
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