1.In Standardscaler, it assumes that data has normally distributed features and will scale them to zero mean and 1 standard deviation.
2.All the features will be of the same scale after applying the scaler.
1.Minmaxscaler shrinks the data within the range of -1 to 1(if there are negative values)
2. This responds well if standard deviation is small and is used when distribution is not Gaussian.This scaler is sensitive to outliers.
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