Understanding K-Nearest Neighbor Algorithm in Machine Learning

K-Nearest Neighbor (KNN) is a popular supervised learning algorithm used for classification and regression tasks. It is non-parametric and lazy, meaning it delays using training data until classification. KNN works by finding the closest training examples to a new data point and classifying it based on the majority label of its nearest neighbors. The algorithm's simplicity and ease of implementation make it a valuable tool in machine learning.

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