---
title: "Discussion on \"GSoC'23 Week 4: Implementing kNN algorithm for classification\" | Hashnode"
description: "Discussion on \"GSoC'23 Week 4: Implementing kNN algorithm for classification\". kNN Algorithm\nin the parametric approach, we assume an underlying relationship between the predictor (input) and response (output) values.\n$$Y = f(X, \\theta) + \\epsilon$$Y represents the response variable, X represents the predictor variable(s), f re..."
url: "https://hashnode.com/posts/gsoc23-week-4-implementing-knn-algorithm-for-classification/64ac0c70b2d5b84d133b4ad6"
---

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# [GSoC'23 Week 4: Implementing kNN algorithm for classification](https://azm999.hashnode.dev/gsoc23-week-4-implementing-knn-algorithm-for-classification?utm_source=hashnode&utm_medium=feed)

kNN Algorithm in the parametric approach, we assume an underlying relationship between the predictor (input) and response (output) values. $$Y = f(X, \\theta) + \\epsilon$$Y represents the response variable, X represents the predictor variable(s), f re...

Jul 3, 2023 · 6 min read · azm999.hashnode.dev  
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## Written by

[Azmat Khan](https://hashnode.com/@azm999)

@azm999 · india

  
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Open source enthusiast, Problem solver

GSoC'23 @ GNU Octave. Open-source software advocate

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