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In simple words, we can say that classifier is the basis of your machine learning process and a model is the end product of training your classifier. The classifier is the part of the program where there are a set of rules to classify your inputs. 

So, I think we can say that a classifier is a special case of a hypothesis or model: a classifier is a function that assigns a class label to a data point.

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