perceptron algorithm in matlab

main.m
function [weights, bias] = perceptron(X, y, learning_rate, epochs)
    [m, n] = size(X);
    
    weights = zeros(1, n);
    bias = 0;
    
    for epoch = 1:epochs
        for i = 1:m
            prediction = dot(weights, X(i,:)) + bias;
            if y(i) * prediction <= 0
                weights = weights + learning_rate * y(i) * X(i,:);
                bias = bias + learning_rate * y(i);
            end
        end
    end
end
436 chars
17 lines