Andrew Ng surpased himself as far as his teaching skills. I am amazed by quality of his lectures and the way he explains things. However I found that quizes were to too easy. One should just pay attention to what was said during lectures and 100% grade is guaranteed. That's why I'm giving 4.0, although I think 4.5 would be more appropriate. All in all - great first course!

Great Intro to ML. I did not find it challenging enough or offering extra info that we can study on our own (like generalised linear models). It also doesn't mention that there are other parameter optimisation algorithms other than gradient descent. Overall a very beginner friendly course, but left me wanting for more, which isn't exactly bad I guess ;)

Amazing coverage of Linear and Logistic regression! T​here is a significant attempt to lower the math bar for this course, which is appreciated and admirable; but then the labs require implementing equations in code, which requires some focus be paid to that portion of the learning.

A​ndrew Ng is a great teacher. I took his original Octave-based Machine Learning class when it came out years ago. I've been waiting for the update in Python. I have to say, this class is not as hard or math-intensive as the original, but so far, it's been great.

Great course in Machine Learning for begineers, still required more details and topics which are required to be known for a begineer to get the solid understanding in ML

This is a nice course. It gives a nice introduction to machine learning. The instructor is very nice at explaining concepts in easy to understand words.

I think it was a really good beginner course, but frankly, a bit slow at times (maybe a bit more could be added to really make it 3 weeks of work?)

I would like to suggest to add lectures and explianations on importing libiraries and scripiting alos to amkemit more robust and independent

c​ourse is very good, but doesnt make me very envolved in practical work, may be some search and assignments or problems will be better

It was fantastic! Andrew is a very good instructor. He made most of the concepts crystal clear while explaining the ideas.

ts a very helpful course to get into AI, i would sa it could use a bit more coding in the videos to demonistrate

I don't understand why the practice lab code for gradient descent and the lab assignment code is different.

It get's exponetially harder as the weeks go by. This course could really use more programming excercises!

It an introduction to ML. Course flow is fantastic and assignments are important to learn the content.

All the lectures are good. The only thing could be better is the assignments exercises.

well, the videos were phenomenal but i think jupyter notebooks needed their own videos

I​nteresting, and useful, take on how the different topics relate to each other.

Great course but I​ wish instructor also explaned the option lap code as well.

Great content and learning pace. Just think the assignements could be harder.

Vectorized implementation in the assignments would have helped

More graded lab sessions could be included. Good course.

the coding part could have been explained in detail.

Graded Assignments were slightly on the easier side.

A well designed course to learn Machine Learning.