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Anil Sakhiya

Anil Sakhiya

3 years ago

This tutorial on “KNN Algoritm in Machine Learning” will help you to master all the concepts of K-nearest neighbors. k- Nearest Neighbors or (kNN) algorithm is one of the simplest,non-parametric, lazy classification learning algorithm. Its purpose is to use a dataset in which the data points are separated into several classes to predict the classification of a new sample point.

  • 00:00:00 Introduction
  • 00:00:50 - Demo on KNN
  • 00:14:20 - Where To Use, What?

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K-Nearest Neighbors (KNN) Algorithm In Machine Learning

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K-Nearest Neighbors (KNN) Algorithm In Machine Learning

K-Nearest Neighbors (KNN) Algoritm in Machine Learning will help you to master all the concepts of KNN. KNN algorithm is one of the simplest, non-parametric, lazy classification learning algorithm. Its purpose is to use a dataset in which the data points are separated into several classes to predict the classification of a new sample point.

3.55 GEEK