k-NN Classification Explained Simply | Machine Learning Basics

k-NN Classification is a simple machine learning algorithm used to predict categories. In this video, we explain k-NN Classification in a beginner-friendly way: what k-NN Classification means what “k” represents how nearest neighbors are used why classification uses majority vote why distance and feature scaling matter how k-NN Classification differs from k-NN Regression and K-Means k-NN Classification predicts a class by looking at nearby examples and using majority vote. In the next video, we’ll continue with Support Vector Machines. Like this video, follow for more, and subscribe so you don’t miss the rest of the Machine Learning series. #MachineLearning #KNNClassification #Classification #DataScience #MLBasics #ArtificialIntelligence #TechWithAdyn