Too Long; Didn't Read
This is a follow up to my previous post on the Perceptron Model. In this post, we will see how to implement the perceptron model using breast cancer data set in python. The data set is an imbalanced data set, that means the classes ‘0’ and ‘1’ are not represented equally. We will use sklearn’s train_test_split function to split the data in the ratio of 90:10 for training and testing. The entire code discussed in the article is present in this GitHub repository.