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</html><description>Description: The K-nearest neighbors (K-NN) algorithm is a supervised learning method used to classify a data point based on the classification of its nearest neighbors in the feature space. This algorithm is based on the idea that data points that are closer together tend to share similar characteristics. K-NN does not require an explicit model, [&hellip;]</description></oembed>
