input: from typing import List
  
  def sentiment_analysis(tweets: List[str]) -> List[str]:
      """ Analyze the sentiment of each tweet in the given list and classify it as 'Positive' or 'Negative'.
      >>> sentiment_analysis(["I love this product!", "This is terrible."])
      ['Positive', 'Negative']
      >>> sentiment_analysis(["Absolutely amazing!", "Can't stand this."])
      ['Positive', 'Negative']
      """
output:     positive_keywords = ["love", "amazing", "great", "good", "awesome"]
      negative_keywords = ["terrible", "awful", "bad", "hate", "dislike"]
      
      sentiments = []
      
      for tweet in tweets:
          tweet_lower = tweet.lower()
          if any(keyword in tweet_lower for keyword in positive_keywords):
              sentiments.append('Positive')
          elif any(keyword in tweet_lower for keyword in negative_keywords):
              sentiments.append('Negative')
          else:
              sentiments.append('Neutral')
      
      return sentiments