Some concepts should be dealt with more explanation (SVM, recommedor system- collaborative filtering)

The statistical equations can be explained better to enable better application in the real world.

Would have preferred more step by step explanations to the process, even if it is in written form

this course quite difficult to complete. please add some normal application in this course.

Could have been better especially in optimization part and pratical coding in video itself.

I prefer a blackboard videos likek Khan Academy. Instructor looks like a robot. But its ok.

I prefer to have more lab work to help with maintaining what was covered in each section.

some errors in the code. Seemed like a marketing tool for IBM vs. a training session.

Mathematical explanation is not enough. But it is a good course for general overview.

The course contents are okay. However, the labs and final exam are not well designed.

very hard compared to the other courses in this data science package, but good info

it was good theoretically, but have could have been better in practical learning.

Good learning, but very fast paced. A little more practice assignments would help

Watson Studio was not enough explained. extremely difficult to work on it.

Too complex course, some one will do not understand many things out of it.

I have ended the course with Honors and is not visible on my certificate

Was not easy to use the code on my local machine.

I was using spyder IDE

Should be an extensive course.The coding part should be explained more.

Course content was good however the final assignment was confusing.

Some materials contain errors, and the libraries are bit outdated.

I liked the course, but at times, I felt like I had less practice.

Lab works are not well explained. Otherwise, it's a great course.

The lectures that are longer than 5 minutes are hard to tolerate.

Programming works need to be added,Quiz need to graded for free

instead of implementing the algorithm more explanation on math