If both negative and positive skewness are present in data set then how it can be removed

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Dec 8, 2020 in Machine Learning by shama
• 120 points
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1 answer to this question.

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Hi@shama,

It depends on your use case. If you go with a positively skewed distribution, then most values are clustered around the left tail. If you go with a negatively skewed distribution, then it is the opposite one. So if possible share your use case and data set as well. So that we can help you with the steps.

answered Dec 8, 2020 by MD
• 95,360 points

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