Comparing metrics across Git branches

In this exercise, you will use DVC for querying and comparing metrics across different branches. This functionality of DVC is helpful in making decisions about the quality of a machine learning model.

You will start in the main branch, where a DVC pipeline has already been executed and results committed in Git. Your task would entail querying metrics in the main branch. Then, you'll switch to a new training branch, change a hyperparameter, and execute the pipeline again, followed by comparing metrics with the main branch.