Handling Missing Data

A statistician’s perspective on how (not to) do it to keep your machine learning workflow unflawed.

Photo by Raúl Nájera on Unsplash

Recently, I couldn't help but notice something alarming about the popular machine learning books. Even the best titles that do a great job explaining the algorithms and their applications, tend to neglect one important aspect. In cases where statistical rigor is…