very awesome course for intermediate level......thanks coursera and instructors

All the topics are nicely covered with examples and it really helped me a lot.

Great explanation, nice ungraded tools.

But should have more graded assignments

This course gives the tools to know more about data processing and analysis.

Wish you would explain the code as well but otherwise a great starter course

all in all a good beginner level course. the assignment was really enriching

one of the crisp course and should have included ensemble algorithms aswell.

the course is best for those who want to enter in the field machine learning

it's basic for the beginning and provide the real environment to practice.

Well, the theoritical teaching was good but average practical experience.

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.

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.

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 .

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