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Nearest Neighbour Regression

Explore the concept of nearest neighbor regression and how it applies the K-nearest neighbors algorithm to predict continuous values by averaging neighbors. Understand why this non-parametric method stores training data without building explicit models and how to implement it using scikit-learn's KNeighborsRegressor.

Nearest neighbors regression

The idea of nearest neighbor regression is derived from nearest neighbor classification, and note that:

  • The principle behind the nearest neighbors algorithm in regression is to find the nearest k neighbors. These neighbors are identified using a ...