Perceptron

A Perceptron is a basic machine learning algorithm used for binary classification—deciding between two options. It works by taking multiple input features, assigning weights to each, and then summing these weighted inputs. If the total exceeds a certain threshold, the perceptron outputs one category; if not, it outputs the other. Essentially, it acts as a simple decision-maker that learns by adjusting the weights based on errors during training, helping it improve accuracy over time in separating different types of data.