K-Nearest Neighbors (KNN) Algorithm Explained with Examples | AI ML Course By Srinivasan Ramanujam 

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In this video, we'll explore the K-Nearest Neighbors (KNN) algorithm, one of the simplest and most popular machine learning techniques. We'll break down how KNN works step-by-step and show you how to implement it in Python. Topics covered include:
How KNN makes predictions based on proximity
Understanding the 'k' parameter and its impact
Distance metrics used in KNN (Euclidean, Manhattan, etc.)
A real-world example to see KNN in action
Implementing KNN using Python and scikit-learn
By the end of this tutorial, you'll have a solid understanding of KNN and how to apply it to classification problems in machine learning. Be sure to like, comment, and subscribe for more AI and ML tutorials!