Unsupervised learning is a machine learning method where a model finds patterns in data that has no labels or correct answers provided. Instead of being told what to look for, it discovers structure on its own, such as grouping similar customers together or spotting unusual data points. It is useful when you have lots of raw data but no ready-made answers to learn from.
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