Perceptron algorithm

The perceptron algorithm is a type of linear classifier used in machine learning. It is designed to classify input data into one of two categories by finding a linear boundary. The algorithm iteratively adjusts the weights assigned to input features based on the errors in classification, aiming to minimize these errors over time.