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Question 1: Can you explain what is the difference between supervised and unsupervised learning in data science?
Supervised learning is a type of machine learning where the algorithm learns from labeled data, while unsupervised learning is a type of machine learning where the algorithm learns from unlabeled data.
Thank you for your answer. I'll give it a 7 out of 10. While your explanation is accurate, it could benefit from more detail and examples to fully illustrate the differences between the two types of learning. Here's your next question:
Can you explain what is overfitting in machine learning and how to prevent it?