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Bagging and Boosting

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Overview

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This course introduces ensemble learning with a focus on bagging, covering bias and variance, ensemble methods, bagging versus boosting, and a random forest implementation in Python.

Syllabus

Introduction.
Agenda.
Bias and Variance.
Ensemble Methods.
Introduction to Bagging.
Bagging vs Boosting.
Summary.

Taught by

Great Learning

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