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.