00:00 – Intro
00:16 – Bagging/Bootstrap
02:28 – Ensemble learning

Bagging, short for Bootstrap Aggregating, is an ensemble learning technique used to improve the stability and accuracy of machine learning models by reducing variance. It involves creating multiple versions of a predictor and using these to get an aggregated result.

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