### Differentiate between Supervised vs. Unsupervised Learning

In a supervised learning problem, there is an explicit, pre-defined target variable which has known labels.

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Clustering is used to partition data set into N distinct groups/clusters. These groups are semantically coherent in nature

Identification of hidden patterns and associations from data is unsupervised learning.

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