input: Write a python function to create features from review data using TfidfVectorizer.
  assert create_features_from_reviews(["This movie is great!", "I did not like this movie"]) is not None
  assert create_features_from_reviews(["Amazing acting and story!", "Terrible plot and bad acting"]) is not None
  assert create_features_from_reviews(["A masterpiece", "Not worth watching"]) is not None
output: def create_features_from_reviews(reviews):
      from sklearn.feature_extraction.text import TfidfVectorizer
  
      vectorizer = TfidfVectorizer()
      tfidf_matrix = vectorizer.fit_transform(reviews)
      
      return tfidf_matrix