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that the denominator will always be larger than the nominator, the output value will always be a number between 0 and 1. Normalization of a Vector from sklearn.preprocessing import MinMaxScaler sc = MinMaxScaler(feature_range=(0,1)) training_set_scaled = sc.fit_transform(training_set) Step 2: Data