Bootstrap Resampling Explained
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YouTubeMachine Learning Center
Bootstrap Resampling Explained
Bootstrap sampling is used in a machine learning ensemble algorithm called bootstrap aggregating (also called bagging). It helps in avoiding overfitting and improves the stability of machine learning algorithms. In bagging, a certain number of equally sized subsets of a dataset are extracted with replacement. Check the playlist of this Topic ...
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