Answer / Mukesh Singh

Supervised learning is a type of machine learning where the algorithm learns to predict an output (dependent variable) based on labeled input data (independent variables). Unsupervised learning, on the other hand, deals with unlabeled data. The goal is to find patterns or structures within the data without specific guidance about what those patterns should look like.

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