K-Nearest Neighbors (KNN)

K-Nearest Neighbors is a non-parametric algorithm used for classification and regression tasks, based on the principle that similar data points are close to each other in feature space. When predicting the class of a new data point, KNN identifies the 'k' nearest neighbors from the training dataset and assigns the most common class among them. It's simple to understand and implement, making it a popular choice for beginners.