👉 Resampling is a process used in data analysis to create new sets of samples or observations from the original dataset. It involves dividing the original dataset into smaller subsets, typically based on the desired number of samples or observations for each group. In statistics and machine learning, resampling can be applied to various types of datasets, such as surveys, experiments, and medical records. By creating a new set of data that is representative of the population being studied, resampling allows researchers to examine larger populations more accurately
