Introduction

Author(s): Palak

Originally published on Towards AI.

Intuitive Approach

Photo by Zdeněk Macháček on Unsplash

K-nearest neighbors(in short KNNs) are a robust yet straightforward supervised machine learning algorithm. Though its regression variant also exists, we’ll only discuss its classification form.

KNN is a non-parametric lazy learning algorithm. Let’s have a look at what each term means —

Non-parametric: Unlike the parametric models, the non-parametric models are more flexible. They don’t have any preconceived notions about the number of parameters or the functional form of the hypothesis. They are thus saving us from the trouble of any wrong assumption about the data distribution. For example, in Linear Regression, which is a parametric algorithm,… Read the full blog for free on Medium.

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Published via Towards AI