![[MINI] k-Nearest Neighbors](https://static.libsyn.com/p/assets/3/1/6/8/3168a617277a4bbe/knn.png)
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Show Notes
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 basica 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 datapoint.