K-Nearest Neighbors
The k-nearest neighbors (KNN) algorithm is a non-parametric, supervised learning algorithm used for classification and regression tasks in machine learning. It predicts outcomes by finding the 'k' closest data points, utilizing distance metrics and majority voting, and is known for its simplicity and versatility.
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