Answer Posted / Payal Srivastava

"Unsupervised learning is a type of machine learning where the model learns patterns and structures from the data without explicit supervision or labeled examples. It's used for clustering, anomaly detection, and dimensionality reduction tasks. In unsupervised learning, the goal is to find underlying relationships within the data, such as grouping similar instances together in clusters (clustering) or representing high-dimensional data in a lower-dimensional space (dimensionality reduction)."n

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74

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