Introduction I was recently working with a dataset from an ML Course that had multiple features spanning varying degrees of magnitude, range, and units. This is a significant obstacle as a few machine learning algorithms are highly sensitive to these features, i.e., most algorithms work well only on a normal distribution. So how can we … Continue reading Feature Engineering: Scaling, Normalization, and Standardization (Updated 2023)