The word “Mastery” in the title is somewhat misleading. The course only provides an initial overview and introduction to the subject. However, that goal is achieved well. In the course, a Python notebook with a data set is worked through. Although the lecturer announces that both will be provided, this is not the case. Even after repeated requests from various students in the discussion forums, the resources were not provided. If you want to follow the programming examples, you have to get a data set yourself (e.g. on Kaggle).

No datasets provided, makes the course less useful.

you did not post the course files. Even after several post asking for the files. I contacted support and they did not help either.

Best explanation of the key concepts in short time. Well done.

Thanks!

I think it was too basic, it lacks more a deeper dive into theoretical aspects and importance about the different scores that the summary of the model provides. However it's a good introduction

missing some extra foundational math details to fully grasp how to use these tools. good course to start.

I expected a lot more.

Not worth the time to attend this course. Course title should be "... Brief Overview ,,," instead of "... Mastery..." There were typo-errors in the course slides. Coursera MUST audit the quality of courses introduced into the platform.

Not a course but trash! There is no dataset files to the course. Lecturer don't know PEP-8. pmdarima is bad library it calculates to long. Course structure is awful!