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K-nearest neighbors (KNN) is a supervised machine learning algorithm that is used for classification and regression tasks. It works by finding the K nearest data points to a given input and using their labels to predict the label for the input.
This program automatically identifies the subject of posts from the EECS 280 Piazza using natural language processing and machine learning techniques. It figures out what project the post is about by using previous training data and analyzing all the words in a post.