Ratings and Reviews for Applied Machine Learning in Python

Overall it was a great experience. I think the instructor should've adapted a better technique to teach more proficiently

The materials are useful, but the tools are outdated and the lectures contain numerous mistakes. Assignments have bugs in the code that will cause the autograder to fail even if the solution is correct. These have been unfixed for 5+ years despite being called out on the discussion forums multiple times over the years. Assignment difficulty exceeds what should reasonably be expected given the instructional materials for most learners. Clarity of assignment questions also needs to be improved. Overall I would not recommend this course until these issues are fixed. It's a shame because the actual content of the course is very practical.

What is taught in the lessons and what is asked in the assignments have nothing to do with it. Assignments are too difficult. You can try if you want to challenge, but if you're just learning, I don't recommend it.

I am thankful to the University of Michigan for providing this course.

I am very thankful to Coursera for providing me this opportunity.

There should have been more time spent and emphasis on supervised machine learning models for lectures. If unsupervised learning is not going to be utilised for assignment tests, why even cover it as an option for lecture videos? Nonetheless, the deficiency of this course layout and the instruction provided has spurred me on to explore the machine learning course by Andrew Ng.

Thanks for this course

its the best course

very insightful. appreciate the more practical application of the libraries and packages

A very great and concise course!