K-Nearest Neighbors (KNN)
KNN (K-Nearest Neighbors) is a straightforward supervised learning algorithm that classifies data points based on their proximity to K nearest neighbors.
KNN, or K-Nearest Neighbors, is a simple yet effective supervised learning algorithm used for classification and regression tasks. It classifies data points based on the majority class of their K nearest neighbors in the feature space. KNN is easy to implement and can handle both numerical and categorical data, making it a popular choice for introductory machine learning tasks.