When you're finished, run the code that you see right here to verify that all of your pipelines have been properly defined. It's just a for loop that says, for each key and each value in the list of items in the pipeline dictionary, print out the key and then the object type of the value. And that should show you lasso, ridge, elastic net, random forest and gradient booster. And it should tell you that the type of object is a Scikit-learn pipeline. Go ahead and pause the video and make sure that you have all of your pipelines properly defined by running this code in your Jupyter Notebook. And if you're not getting these results, double check your code to make sure that it's correct.