Course is good, but I felt that course could include more practical coding by students . As faced difficulty in understanding programming logic and practice.

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

Vary good course, vey well explained, the only problem I used to have was about the assignments, there were some ptechnical problems with the files

the authors can include more coding questions so as to not only help a student to learn Machine learning but also become fluent in implementing it.

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

Knowledgeable teacher but still need to improve some presentations to limit the need to get extra resources for understanding the materials

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 experience learning through Coursera ,who provides best faculty for making students understand easily.

thank you Cousera

This course is useful, but the code is not updated, and the assignment and Module codes returned a lot of code deprecation warnings.

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

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ience of machine learning using python. Very well explained algorithms and application through modules and assignments.

Best Course if you are searching for the applied side of Machine learning and Assignment are very helpfull to make mucssle memory

excellent course, except for the last week. I think that the last part about decision trees, NN and randomforest could be better

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.

Tough, but fair weekly assessments. Lecturer is a bit on the dry, boring side. Be careful not to let you attention drift.

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.