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Machine Learning: Classification 2

The science of solving classification tasks


Learn to apply the law of probabilities, boosting, bootstrap aggregation, k-fold cross-validation, ensembling methods, and a variety of other techniques as we build some of the most widely used machine learning algorithms today. Learn to add performance to your models using mathematically sound principles you’ll learn in this course.

We strongly recommend that you complete the Classification in Machine Learning 1 workshop prior to taking this course. Some concepts presented throughout the lecture may be less-than-ideal for practitioners who have not completed the pre-requisite courses.


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