ML Week 6 (Oct 19+21): Feature Engineering

Representing data so algorithms can learn from it: categorical variables and one-hot encoding, binning and scaling continuous features, and engineering new features that capture what matters. Sources: Week 6 (Oct 19-21) – Müller & Guido Ch. 4: Representing Data and Engineering Features

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ML Week 6 (Oct 19+21): Feature Engineering

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