 Nearest neighbour algorithm

The Nearest Neighbour algorithm, often referred to as K-Nearest Neighbors (KNN), is a simple, instance-based machine learning algorithm primarily used for classification and regression tasks. The core idea of KNN is to classify a data point based on how its neighbors are classified. Here's a breakdown of how the algorithm works: ### Key Concepts: 1. **Distance Metric**: KNN relies on a distance metric to determine the "closeness" of data points.