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What is k-Nearest Neighbors Overview about?

The k-nearest neighbors (kNN) algorithm classifies new data points based on their similarity to labeled data points in the training set, applicable for both classification and regression tasks. Key considerations include selecting the optimal number of neighbors (k), preparing data through feature scaling and encoding, and its various business applications such as customer segmentation and fraud detection. Despite its simplicity and effectiveness, kNN has drawbacks like high memory requirements and slow cla

Author

gauri10in

Language

EN