k-Nearest Neighbors
This episode explores the k-nearest neighbors algorithm which is an unsupervised, non-parametric method that can be used for
both classification and regression. The basic concept is that it leverages some distance function on your dataset to find
the k closests other observations of the dataset and averaging them to impute an unknown value or unlabelled datapo