In this video, I explain the K-Nearest Neighbors (KNN) algorithm step by step using Python. 📌 Google Colab Notebook (Complete Code): 👉 https://colab.research.google.com/dri... This video covers: • What is KNN algorithm • Is KNN supervised or unsupervised • How KNN works step by step • Distance concept in KNN • Feature scaling using StandardScaler • Complete Python implementation • Confusion Matrix explanation • Choosing the best value of K • Prediction on new data This video is useful for: • Beginners in Machine Learning • College students • Exam and interview preparation If you find this video helpful, don’t forget to like, share, and subscribe.