Implementing Logistic Regression from Scratch using Python

This article was published as a part of the Data Science Blogathon. For this article, we will be using sklearn's make_classification dataset with four features This is the vectorised form of the gradient descent expression, which we will be using in our code. Now that we are done with every part, we will put everything together in a single class. You can fiddle around with hyper-parameters and see the behaviour of cost function. Now, let's see how our logistic regression fares in comparison to sklearn's logistic regression.