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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