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Unsupervised Machine Learning

Discovering Hidden Structures in Data


Learn PCA (Principal Component Analysis), Clustering, and other algorithms to work with unsupervised machine learning tasks where the target variable is not known or defined. Applying what you’ll learn from this workshop, you will be tasked to develop an anomaly detection or an e-commerce product recommendation model that can be related to real-life business scenarios.

We strongly recommend that you complete the pre-requisite courses prior to taking this course. Some concepts presented throughout the lecture may be less-than-ideal for practitioners who are new to the field of machine learning.


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