In the previous section, we discussed different types of regression theoretically. Now that we've covered the theoretical concepts, it's time to get some practical experience. In this section, we are going to use the scikit-learn library to implement linear regression and evaluate the model. To do this, we will use the famous Boston housing pricing dataset, which is widely used by researchers. We will discuss different model evaluation techniques used in the case of regression.
Let's try to develop some regression models based on the explanation we saw earlier.
