Workshop 10 | Machine Learning: Zero to Hero
In pattern recognition, the k-nearest neighbor algorithm is a non-parametric method proposed by Thomas Cover used for classification and regression. In both cases, the input consists of the k closest training examples in the feature space. In this, we workshop we will learn another and very popular Classification ML Model.
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