Machine Learning Perceptron Implementation

The program consists of 8 parts and we are going to have a look at them one at a time. As described in the perceptron image, if the linear combination of W and X is greater than 0, then we predict the class as 1 otherwise 0. We count the number of instances where the predicted value and the true value do not match and this becomes our error count. This method is translation of the weight update formula mentioned above.