Perceptron is a simple model of a single layered Artficial Neural Network that works for binary classification problems.
This repository is the implementation of a perceptron model from scratch in python and gives us an sample usage using two-class iris data.
The dataset (iris.csv) contains a set of 100 records with 4 attributes - Petal Length, Petal Width, Sepal Length, Sepal width
Target Variable: Class(Species) of the Iris Flower