In pattern recognition, the k-nearest neighbors algorithm is a non-parametric method used for classification and regression. In both cases, the input consists of the k closest training examples in the feature space.

2014-02-18 · I describe how the k Nearest Neighbors algorithm works, and provide a simple example using 2-dimensional data and k = 3.

k-nearest-neighbors video tutorial

2019-10-24 · In this tutorial you are going to learn about the k-Nearest Neighbors algorithm including how it works and how to implement it from scratch in Python.

k-nearest-neighbors python tutorial article

Nearest Neighbor Classifier in Python.

k-nearest-neighbors tutorial article

Examples for all the different utilities within scikit-learn.

scikit-learn naive-bayes linear-regression logistic-regression