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differences in the ranges of values. from sklearn.preprocessing import MinMaxScaler scaler = MinMaxScaler() data_scaled = scaler.fit_transform(data[['Numeric_Column']]) Log Transformation: Useful for handling skewed data and making it more normally distributed. data['Log_Variable'] =