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Both equally of such terms are greatly Employed in statistics. Skewness is all about the measure of symmetry. Conversely, Kurtosis is utilized to keep the information on two parameters: hefty-tailed or gentle-tailed to give regular distribution.

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When we have to individual the set of objects from the info, then we use discrimination. On the flip side, classification is all about classifying the info into predefined groups.

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The data established has missing values which have been left blank, along with the very long character variable make which contains blanks.  So fastened area input was utilized with columns ranges specified. two. T-exams