Dimensionality Reduction Cheatsheet

A one-page dimensionality reduction reference, every snippet explained line by line: variance and missing-value filters, correlation pruning, leak-free selection, RFE, tree importance, Lasso, consensus voting, and PCA for reduction and compression.

For the full background, read the guide to dimensionality reduction in Python. To practise, work through the 10 code-along examples.

Download the cheatsheet

See you soon.

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