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Introduction to Classification | Predictive Modeling and Machine Learning, Part 2

 This video covers the basics of the most common machine learning classification models that you can tune to work with any number of predictor variables. Each has its advantages and disadvantages in terms of accuracy and training speed. The only way to know which one works best on a particular dataset is to try them out and see how each one performs. The goal of classification is to determine the class label for an unlabeled test case.


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