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Data Science Interview Questions and Answers

Question: What is the difference between supervised and unsupervised learning?
Answer: Supervised learning involves training a model on a labeled dataset, while unsupervised learning deals with unlabeled data where the algorithm tries to identify patterns or relationships without explicit guidance.

Example:

Supervised learning: Classification tasks like spam detection. Unsupervised learning: Clustering similar customer profiles.

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