K-Nearest Neighbors: Instance-based Learning and Classification
K-Nearest Neighbors, also known as KNN, is a popular instance-based learning algorithm that is commonly used for classification and regression tasks. It is considered a non-parametric lazy learning algorithm because it does not make assumptions about the underlying data distribution and it does not learn a model from the training data. The basic idea behind…
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