Machine Learning 3.2 – Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA)

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Who is it for: Anyone looking to understand LDA and QDA differ, as well as how they fit into the broader context of Gaussian Maximum Likelihood Classification methods. 

Why we love it: This lesson is a concise overview of LDA and QDA using an intuitive example. First the tutorial explains the classification rule and how to apply it to multivariate normal distributions. Then we explore how to use these tools to conduct linear and quadratic analyses with a classification example.