Definition of Resampling

Resampling: Resampling is a technique used in data science to create new datasets from existing ones. It involves selecting a subset of the data to be used in the new dataset, and then randomly selecting samples from that subset. This process is repeated multiple times to create a new dataset that is representative of the original one. Resampling is often used when the original dataset is too large to work with or when the researcher wants to explore different aspects of the data.

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