NumPy Arrays & Vectorization

Summary

NumPy's array type and vectorized operations let you run math on entire datasets without slow Python loops — the performance foundation every ML library is built on.

How to Learn This

1Practice array creation, indexing, slicing, broadcasting and reshaping.
2Rewrite a loop-based computation as a vectorized NumPy operation and compare speed.
3Learn broadcasting rules carefully — they're a frequent source of subtle bugs.

Optimization Basics (Gradient Descent)

Pandas DataFrames & Series

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