I learnt a lot in this course. The lectures, assessments, and reading material were all top-notch. The forums are immensely helpful. However, I'm giving 4-stars rather than 5 because I spent more time than was necessary in overcoming autograder issues. My suggestion is to improve the autograder so that assignments can be submitted more seamlessly.
Ratings and Reviews for Applied Machine Learning in Python
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Reviews and Ratings
Reviews
This was the best course in the specialization, in my opinion. I think I learned the most and got the most value from the materials in here.
Really good course if you are starting to learn Machine Learning
Taking these lessons from some of the world's most prestigious universities and professors is priceless.
the authors can include more coding questions so as to not only help a student to learn Machine learning but also become fluent in implementing it.
bala
The course is very interesting, well structured, and the videos are well done.
The teacher's speaking speed is very interesting, it allows to better understand the lessons
Interesting course. Last exercise allows understanding how to use ML, when you are all alone.
It is a wonderful course that convers a basics of Machine Learning, the instructor provides an excellent explanation of the topics and the Jupyter Notebooks helps you understand and document all the concepts learned through the course. If you want to build some knowledge in ML this is a good option to start this great journey!
I found this course quite challenging to complete. The assignments are difficult (which is good, they are practical and I enjoyed them) and only a fraction of things is explained in the videos. I really found much better learning materials around the web (and for free!). For applied machine learning course, I would expect more practical videos. Also the process of submitting assignments is really frustrating, I spent half the time correcting errors that were not related to the assignment objective. If this course was not part of specialization, I would not complete it.