Difference Between Standardization and Normalization || Use cases Data Science @datatechinfo

Normalization:
Objective: Scale the features to a specific range, usually [0, 1].
Method: Subtract the minimum value and divide by the range (max-min).

Standardization:
Objective: Transform features to have a mean of 0 and a standard deviation of 1.
Method: Subtract the mean and divide by the standard deviation.
#Normalization #DataScaling #FeatureScaling #MinMaxScaling
#Standardization #ZScoreNormalization #MeanCentering #DataTransformation

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