K-Nearest Neighbors (KNN)

K-Nearest Neighbors (KNN) is a simple machine learning method used to classify data points based on their similarity to nearby examples. Imagine you want to identify the category of a new item; KNN looks at the 'k' closest examples in the dataset and assigns the new item to the most common category among those neighbors. It relies solely on proximity, meaning similar items are grouped together. KNN is intuitive, works well with clear patterns, and requires no training phase—just storing data and making decisions based on neighbor comparisons.