Formulas

Perceptron as a Linear Classifier

This repo contains a simple Python implementation of the Perceptron algorithm, one of the earliest and most fundamental building blocks in machine learning. It classifies data into two categories using a straight line (or hyperplane) based on input features.

What Is a Perceptron?

A Perceptron is a mathematical model inspired by how a single neuron works in the brain. It’s used for binary classification — deciding if an input belongs to class 0 or class 1.

Example Use Cases:

• Spam vs. not spam
• Yes vs. no
• Pass vs. fail
• Anything with two possible outcomes