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Bagging stands for "Bootstrap Aggregating." It is a technique that helps improve the accuracy of Boosting is a way to improve the performance of a model by combining several weaker models to create a stronger one. Think of it ... Hands-on Classification is a specific task in supervised

In this video I cover the Bagging (Bootstrap Aggregating) and Boosting

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