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When we need to separate the list of objects from the data, then we use discrimination. Conversely, classification is centered on classifying the info into predefined teams.
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Equally of those conditions are extensively Employed in statistics. Skewness is all about the measure of symmetry. On the flip side, Kurtosis is used to keep the data on two parameters: large-tailed or mild-tailed to give regular distribution.