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K-Nearest Neighbors Implementation in R

Offered By: NPTEL-NOC IITM via YouTube

Tags

K-Nearest Neighbors Courses Data Analysis Courses Machine Learning Courses R Programming Courses Statistical Computing Courses Classification Algorithms Courses

Course Description

Overview

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Learn how to implement the K-Nearest Neighbors algorithm in R in this 29-minute video tutorial. Explore the fundamental concepts and practical application of this popular machine learning technique for classification and regression tasks. Gain hands-on experience with R programming as you delve into the step-by-step process of building and utilizing a K-NN model. Discover how to effectively use this non-parametric method to make predictions based on the similarity of data points in a feature space.

Syllabus

K - Nearest Neighbors implementation in R


Taught by

NPTEL-NOC IITM

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