It was a bad experience learning with this course and long codes were there and they were hard to understand . Also the instructor failed to understand the maths behind machine learning. I don't like the course.

There are plenty of mistakes, some code provided in videos doesn't work, some code in labs is outdated and don't work, videos provide poor explanation. I wouldn't recommend to waste the time with this course.

Materials are very confusing. The instructions to Watson studio need to be updated to reflect the current interface and dashboards. Hard to do a lot og hunting and pecking to find the appropriate oprions.

The peer-graded assignment is a mess - especially if you try resubmitting work. There is no incentive or way for peers to grade assignments after they have done their two reviews. Please work on this IBM.

course was fine, but the review process was bad organized. following the instructions, the reviewer couldn't see the work of the student. also not ideal, that students score the work of other students...

This course is not as well put together as some of the other Python/Data science courses I've completed. In particular, the final assignment is not clear, as you can tell from viewing the week 6 forum.

Mathematical basis of the algorithms were explained with less emphasis on coding. The coding part along with the algorithms were also not explained in the lab sessions.Needs improvement.

needs some updating - the exercises and assignment notebooks are out of date and some quiz questions don't match with the video content. Also it looks like the forum is not maintained

Too basic. Also, its easy to pass this course without much efforts. Should include more assignments that require writing bunch of code. Also, should have different project for people.

The course content was wholly inadequate preparation for completing the final assignment. I had to read and watch several hours of other materials in order to complete this course.

All slides with a recorded robotic voice. Not clear explanation of the overview ML methods, seems liek every slide is not connected to the previous one. Overall not satisfied.

Очень поверхностный.

Если вы - кухарка, и хотите пойти в датасаенс - вам сюда.

Оценка курса не всегда очевидна, вас оценивают Индусы, которые сами в этом всем особо не понимают.

Videos were way too long. They were only about theory and no code was featured. Labs were packed with code without proper explanation. That way of teaching is just not for me.

Very basic course (which is OK) with a particularly confusing final project. Wasn't hard because of the coursework, but was hard because of poorly documented process.

15 minute lecture of droning on about concepts that are "out of scope for the course" but then proceeds to just pretend like we don't need to learn or he said that.

A lot of mistakes, typos, and misleading concept. I spent more time figuring out the wrong concept than actual learning. Course materials should be accurate!!!

Found this course to be confusing. With that said, it was not a waste of time since there are some labs that are beneficial in understanding the concept.

The final assignment was completely bizarre, I think there are missing some instructions to guide the student, and the avaliation was completely 0/1.

Have to sign up IBM account in order to complete the last (most important) project, which is like doing advertising on purpose.

Introduced a lot of code in the assignments while providing no explanation of what it does. Lazy course writing.

Course has glitch in final assignment. People are completing but it is not completing the course for them.

A lot of spelling errors during the course. The sample presented on the final project is very basic.

The course lacked material on several subjects, and the assignment need more explanation.

Not for someone who is looking for a in depth course, it just scratches the surface.

"Time series" prediction is missing, I was passionate to learn about that.