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What is KNN about?

K-Nearest Neighbors (KNN) is a simple supervised learning algorithm used for both classification and regression tasks, relying on the principle that similar data points are close to each other. The algorithm involves selecting a number K of nearest neighbors, calculating distances using metrics like Euclidean or Manhattan, and making predictions based on majority voting for classification or averaging for regression. Key considerations include choosing the right K value, the importance of feature scaling, a

Author

muzamiljamilchanna

Language

EN