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in Machine Learning by (19k points)

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?

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by (33.1k points)

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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