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Podcast: Data Skeptic
Episode:

[MINI] k-Nearest Neighbors

Category: Religion & Spirituality
Duration: 00:08:33
Publish Date: 2015-07-24 00:51:15
Description:

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.

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