The whole time taking this course made me wonder why I didn't just quit computer science and pursued art instead; they are going to discuss this course with me and evaluate my progress and if I learned anything, and I just want to cry, dunno but this was really hard to follow and comprehend.

Some things need to be updated. Such and such is "Deprecated" errors, typo errors, and less and less thought put on in designing the exercises. I can feel the preparers dropping the ball towards the end of this course. Current visualization trends should be included like Tableau.

Very superficial. It teaches at a very high level and doesn't go into details in many cases. There are a lot of open questions and I feel as if I just got a taste. It should be the first course in the certificate as an introduction and then there should be dedicated courses.

Some codes were added but no explanation even. They were fairly complicated and should be elaborated on.

Instructions were also unclear, sometimes we have no idea what the assignment wants. I find my self googling the concepts instead of trying to learn it in this course.

Very entry level course. I don't get the point of explaining the math behind the algorithms without forming any kind of geometrical intuition. The math part is also not really good. I also don't get the point, what exactly they wanted to achieve by creating this course.

Good presentation videos is a plus.

However, the total lack of teachers/mentors support, crowd comments instead of properly designed final project is a much bigger minus.

Don't recommend to anyone who really wants to develop skills, not get a useless paper certificate.

There is no support from Teaching Staff in this course, if you have a problem, you will not get any help from the forum. The grading rubric for the final assignment is really vague, which means the peer grades are arbitrary and not clear.

There are not enough exercises on the application of Machine Learning in Python. Also the server containing the exercises is always down. A lot of type-o mistakes.

The only good thing was the final exercise which was really interesting

Muy mala traducción a español a la vez que se va viendo el video. El primer laboratorio no explica como se genera la información. salen varios errores. No entiendo como suben el curso sin antes probar si funcniona o no.

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.

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.