Machine Learning Basics & Data Pre-Processing
First, in this class I cover basic topics about machine learning, including the types of machine learning models you might encounter and give examples of each type of model.
Second, I cover the essential topics one needs to know to pre-process data before doing a machine learning analysis. We discuss the concepts of one-hot encoding/dummy coding, rescaling continuous features, imputing missing values, and model validation techniques.
To gain access to course materials visit https://kelseyemnett.com/2021/03/06/m...
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