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Identifying categorical columns for encoding categorical_columns = cereal_df.select_dtypes(include=['object']).columns.tolist() # Removing the 'name' column cereal_df_cleaned = cereal_df.drop(['name'], axis=1) # Applying one-hot encoding to 'mfr' and 'type' cereal_df_encoded =