Code and examples were very useful. Teaching a bit lengthy and detailed at times. Overall a very good course for getting hands-on machine learning in python.

It's alright as a course focusing on applied techniques. If you are expecting more theories and understanding of the algorithms, this one may not for you

Submission isnt easy often gave errors that are not due to students' faults. Time-consuming unnecessarily. The content and assignments are great.

Very informative course, the only issue I had was with the file locations in the assignments. Takes up a lot of time switching back and forth.

There are some problems with the assignments but the course is very good. You must improve the material for the assiggnment. I love the forum

Good overview of machine learning topics with practical exercises in the use of multiple techniques primarily through use of scikit-learn.

Hands on and practical. Dr. CT and his staff have done a great job introducing Machine Learning. Where were you 20 years ago? Thank you!

A good course for beginners in Machine Learning. You get to the learn the basics of many techniques and their implementation in python.

Excellent lectures. However, I would have needed more guidance for the last assignment. I learned a lot, but through pain and struggle.

It was a great learning with you all got little problems but solved as per instructions and they helped me through that,thanking you

Unlike the name suggests, this course only covers the Supervised learning side of the ML. However, the supervised side is good.

Everybody has different skill levels, but this was really hard and really, really, really fast.

Did I say it was really fast?

Course content is very nice and covered aptly. I feel that some where more depth was necessary to understand the algorithms.

Other than the subtle mistakes, the overall course was very informative. I wish there were more practise exercises though

A comprehensive course by a wold class university,some teaching could have been better by using more interactive methods.

This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.

Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!

You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.

A few more code examples would have helped better understand various packages provided by Python and how to use them

Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!

It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!

Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.

Very good curriculum with a hands on project. However thera are some limitations with the platform with grading

Complete course on supervised learning

Would be nice to cover PCA and unsupervised learning in the assignments

A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.