Feature scaling - WikipediaFeature scaling is a method used to normalize the range of independent variables or features of data. In data processing, it is also known as data normalization and is generally performed during the data preprocessing step. Motivation[edit] Since the range of values of raw data varies widely, in some machine learning algorithms, objective functions will not work properly without normalization. For
