Perceptron from Scratch

TL;DR

A bare-bones tutorial on building a single-layer perceptron in Python to understand the fundamental logic of machine learning.

Who is this actually for?

Junior developers and CS students who want to stop treating AI like a black box and actually understand the math.

The Good

• Zero dependencies, meaning no bloated libraries to manage for a simple concept.
• Explains the core logic instead of just telling you to run a pre-built model.

The Catch (Potential Downsides)

It is purely educational; you will never use a raw perceptron for a production-grade application. It is a toy project that loses its utility the second you need to handle non-linear data.