00:00 - introduction
00:56 - classification
02:25 - example
04:39 - calculation
K-Nearest Neighbors (KNN) is a simple, non-parametric, and instance-based learning algorithm used for classification and regression. In the context of classification, KNN classifies a data point based on the majority class of its k-nearest neighbors.
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