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I am unable to understand the page of the StandardScaler in the documentation of the sklearn.
Can anyone explain this to me in simple terms?
StandardScaler is used to transform your data such that its distribution will have a mean value 0 and a standard deviation of 1. It means that it fits the entire data in a particular range, so that data gets normalized. It makes model training faster due to small values.
Hope this answer helps.
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