Create the DataFrames count_df and tfidf_df by using pd.DataFrame() and specifying the values as the first argument and

# Create the CountVectorizer DataFrame: count_df count_df = pd.DataFrame(count_train.A, columns=count_vectorizer.get_feature_names()) # Create the TfidfVectorizer DataFrame: tfidf_df tfidf_df = pd.DataFrame(tfidf_train.A, columns=tfidf_vectorizer.get_feature_names()) # Print the head of count_df print(count_df.head()) # Print the head of tfidf_df print(tfidf_df.head()) # Calculate the difference in columns: difference difference = set(count_df.columns) - set(tfidf_df.columns) print(difference) # Check whether the DataFrames are equal print(count_df.equals(tfidf_df))