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Prince Grover

About Me

Prince Grover is a Research Scientist at Amazon Web Services (AWS).

Getting Deeper into Categorical Encodings for Machine Learning

The goal of supervised learning is to extract all the juice from the relevant features and to do that, we generally have to enrich and transform features in order to make it easier for the algorithm to see how the target variable depends on given data. One type of features that do not easily give away the information they contain are categorical features. They keep on hiding the information until we transform them smartly. In this particular post, I am focussing on one particular categorical encoding technique called target encoding.

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