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scaling the features to have similar ranges. This will help improve the performance of our ML model. from sklearn.preprocessing import StandardScaler X = df.drop('ghg_emissions', axis=1) y = df['ghg_emissions'] scaler = StandardScaler() X_scaled = scaler.fit_transform(X) The input features have