Stochastic Gradient Descent Algorithm- minimizing cross-entropy loss | Python Implementation

Implementing linear regression, a supervised learning algorithm that allows us to make predictions based on linearly arranged datasets. Developing a linear model that fits with minimal error the data by learning from previously labelled data using stochastic gradient descent.