Regression With Scikit Learn (Part 2)

This is Day 30 of the #100DaysOfPython challenge. This post will continue on from part one and break down the basics of linear regression and also explain how we can take the work that we did and expand upon that to apply a train-test split to our dataset. The packages required will be available in our conda environment. If you are unsure on how to activate the conda virtual environment, please look to the prerequisites or resources section for links on conda fundamentals. At this stage, the file docs/linear_regression.ipynb already exists and we can work off this material.