The Nearest Neighbor Algorithm is a method used in machine learning and data analysis to classify data points based on the closest training examples in the feature space. It is a type of instance-based learning, where the algorithm relies on the entire dataset to make predictions, often resulting in high accuracy but at the cost of increased computational complexity as the dataset grows.