I may not be using the mooc platform properly, but the (technical) concept of validation_curve, was it introduced in Module 2? I solved the quiz by doing a for loop for nearest neighbor parameters, making a list, creating a dictionary, and then a dataframe. It would be helpful if in the git repository, the notebooks and scripts were named by module, and similar alignment maintained with the Table of Contents. Hope it does not sound like I am complaining, I am loving the class and how much I’m learning working through this. Scikit-learn is so elegant!
Since we have some automation to synchronize the FUN platform and the git repository, it is not as straightforward as it looked. We might try to improve it between two MOOC sessions.
I may not be using the mooc platform properly, but the (technical) concept of validation_curve, was it introduced in Module 2? I solved the quiz by doing a for loop for nearest neighbor parameters, making a list, creating a dictionary, and then a dataframe.
The validation_curve function is introduced in the notebook in the sequence right after this video:
Maybe you did not click in the horizontal menu to progress in the sequence?
In any case, when switching between the MOOC platform and the version of the material published as a jupyter-book, you might find the general table of contents page helpful: