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Some materials contain errors, and the libraries are bit outdated.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

everything was out of scope it was just a brief of every thing

I completed all the module which I doesn't take a certificate

Theory part was awesome. But not much of practical knowledge

Lab is working bad so a lot of time is waisted with waiting.

Very limited knowledge regarding multiclass classification

you better spend more time on teaching how to write codes!

Many labs in Jupiter Lab portal did not work correctly.

It will help to add more clarity on the final exercise.

Theoretical portion was shallow compared to Lab portion

Learned a little bit, want more real world application