The K-Nearest Neighbors (KNN) algorithm is a powerful tool or you can say algorithm in machine learning for classification and regression tasks. It’s based on the idea that similar data points tend to have similar outcomes. In this chapter we will break down the KNN algorithm into simple steps, explain the concepts, and provide an illustrative example. Additionally, we’ll cover how to choose the right value of ‘K’ and demonstrate the algorithm with Python code so if you may still have any question on this you can comment in comment section please don’t hesitate.