Here I have programmed the KNN machine learning algorithm from scratch. It calculates for one or more selected data points in 1 to n-dimensional space the k nearest neighbors using the Euclidean distance. The class of the selected data point(s) to be predicted, will be determined by using majority voting for the classes of the k neighbors.
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k-nearest-neighbor machine algorithm for classification from scratch.
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calt-laboratory/knn_from_scratch
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k-nearest-neighbor machine algorithm for classification from scratch.
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