# KNN (K-Nearest Neighbors)

In this lesson, we introduce KNN, which is a very simple and intuitive model.

## We'll cover the following

`KNN`

stands for the k-nearest neighbor algorithm which 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. `KNN`

is a type of instance-based learning or lazy learning. Lazy learning means this model doesn’t need any training process. Non-parametric means there is no assumption for the distribution of data. Instance-based means you need to store all data points.

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