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Intro To Machine Learning 2 (IML2)

The science of solving classification tasks


This course provides a comprehensive understanding of time series analysis, techniques for evaluating models through train-test splitting, practical implementation of fbprophet in time series forecasting, and strategies for improving models, such as the cross-validation technique and hyperparameter tuning specifically for fbprophet.

We strongly recommend that you complete the Intro To Machine Learning 2 (IML2) 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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