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StandardScaler scaler = StandardScaler() # Scaling the features scaled_features = scaler.fit_transform(cereal_df_encoded) # Displaying the scaled features scaled_features[:5] # Displaying the first 5 rows Implementation of Scaling We have applied the StandardScaler from sklearn.preprocessing to our