Answer Posted / Akhilesh Yadav

Supervised learning involves training a model on labeled data, where the correct answers are provided during training. The goal of supervised learning is to learn a mapping function from input variables to output variables based on examples. In contrast, unsupervised learning involves training a model on unlabeled data without providing the correct answers. The objective of unsupervised learning is to discover patterns or structure within the data.

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