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caret is an R package that aids in data processing needed for machine learning problems. It stands for classification and regression training. When building models for a real dataset, there are some tasks other than the actual learning algorithm that need to be performed, such as cleaning the data, dealing with incomplete observations, validating our model on a test set, and compare different models.

caret helps in these scenarios, independent of the actual learning algorithms used.

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Sunday, February 26, 2017
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