Day 14: KNN (K-Nearest Neighbors) Explained | Theory & Implementation in Python

🚀 *Day 14 — KNN (K-Nearest Neighbors) | Theory + Implementation* In this video, we’ll understand the *K-Nearest Neighbors (KNN)* algorithm from theory to practical implementation. 📌 *Topics Covered:* What is KNN? How KNN works Choosing the value of K Distance calculation Euclidean Distance Classification using KNN KNN intuition with an example Implementing KNN using Python Training and prediction Basic model evaluation KNN is one of the most important *supervised Machine Learning algorithms* for classification and is also useful for understanding how distance-based algorithms work. 📚 Follow the *Learn Machine Learning Everyday* series to learn Machine Learning step-by-step. #KNN #KNearestNeighbors #MachineLearning #DataScience #Python #MLAlgorithms #MachineLearningTutorial #LearnMachineLearning