The videos are a little slow paced. Otherwise, the content is very good.

A beginner-frienldy course and a great way to get into Machine Learning.

amazing , 4 * only because I wished the final exam were really tough :-)

Lab sessions are difficult with less explanations. Hope you work on it!!

The lab are very important in this module, the video should be updated..

Could be more beginner friendly, and explain further, but great course!

Lectures are good but there are not much hands on Practice Assignments.

Great course focusing on the fundamental concepts of machine learning.

Un buen punto de partida para comenzar con el aprendizaje automatico.

Very properly Explained, will love to learn more from the instructor.

The Course Content is good, but the code is not explained in details.

most of the codes are too hard to follow, need more detail narrations

Great course, great instructor. I enjoyed doing the Lab works.

Thanks,

Contents are very useful and informative. A good start for beginners.

Good course. However, they need to explain the code more in details.

This was a very good course who are want to learn the basics from.

Decent theoretical intro to machine learning but not much practice

Recommendation systems could receive a peer-reviewed task as well.

A good platform for users curious about the various ML techniques.

Marks were deducted for no reason in the peer graded assignment .

Well-structured course. It drives you stop-by-step in most cases.

This course is very useful and also helps to improve your skills

notebook setups for final projects could have been much better.

Awesome course with excellent content and Project based learning

Some concepts were hurried. But jypyter notebooks are very good.