Data, Data Science, Machine Learning, Mathematics, Gradient Descent.
Regression To work on the implementation part, we first need a sample dataset on which we can test our algorithm. Here, using the sklearn library, we have generated a random regression problem. Now we extract the first five rows of our generated data to get a better understanding. Next, we move on