input: def sentiment_analysis(tweets):
      """
      Classify positive and negative sentiment in a list of tweets.
      >>> sentiment_analysis(["I love this product!", "I hate this movie."])
      ['Positive', 'Negative']
      >>> sentiment_analysis(["Best day ever!", "Worst experience."])
      ['Positive', 'Negative']
      """
output:     sentiment_labels = []
      for tweet in tweets:
          if "love" in tweet or "best" in tweet or "great" in tweet:
              sentiment_labels.append("Positive")
          elif "hate" in tweet or "worst" in tweet or "terrible" in tweet:
              sentiment_labels.append("Negative")
          else:
              sentiment_labels.append("Neutral")
      return sentiment_labels