Supervised learning problems are divided into classification and regression. In classification problems, the predicted values are discrete categories. In regression problems, the predicted values are continuous numerical quantities.

Classification and Regression in Supervised Learning

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University of Michigan - Ann Arbor

Association rules allow you to establish associations amongst data objects inside large databases. This unsupervised technique is about discovering interesting relationships between variables in large databases. For example, people that buy a new home most likely to buy new furniture.

Association

A subgroup of cancer patients grouped by their gene expression measurements Groups of shopper based on their browsing and purchasing histories Movie group by the rating given by movies viewers


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