K Nearest Neighbor classification with Intuition and practical solution

In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression. k-NN is a type of instance-based learning, or lazy learning, where the function is only approximated locally and all computation is deferred until classification.

Github link: https://github.com/krishnaik06/K-NEarest-Neighbor

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