Basic Mahcine Learning course. It goes through the very basics of several models, but lacks practice and true excercises

Was not able to get a clear understanding of the applications of Statistical concept applied in different ML algorithms.

The course is good but a lot of content is just thrown at you without explaining anything the labs need to be improved

Some useful material, but again plagued by bad spelling, punctuation and technical issues. Nowhere near good enough.

Many questions and lessons are not well written and comprise logic errors. A review is suggested to get 5 stars.

a very short video on theory part and without practical example. then we directly jump on notebook assignment.

I understand that this a introduction course but I believe some things should have been taught in more depth.

The answer to questions were very difficult to interpret. The feedback from staff was not very satisfactory

I felt that it needs to be guided more it was tough to take the final project. But thank you for the course

Rather basic but pretty well explained. I was expecting something more advanced and with much more Math

Coding part wasnt discussed in videos and it was left upto us to read and understand from lab exercises

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.

The Videos are too fast and generated using AI. It should be human generated video.

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