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Both of those of these phrases are greatly Utilized in statistics. Skewness is all about the measure of symmetry. Conversely, Kurtosis is used to maintain the information on two parameters: significant-tailed or gentle-tailed to offer standard distribution.
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When we have to separate the set of objects from the information, then we use discrimination. Conversely, classification is all about classifying the data into predefined groups.
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