I am unable to understand the page of the StandardScaler in the documentation of sklearn.
StandardScaler
sklearn
Can anyone explain this to me in simple terms?
After applying StandardScaler(), each column in X will have mean of 0 and standard deviation of 1.
StandardScaler()
Formulas are listed by others on this page.
Rationale: some algorithms require data to look like this (see sklearn docs).