The class material is well prepared and make machine learning very easy to learn. The first three homework assignment is a bit hand-holding but the last one is really good.

Good Course, i would have liked a little bit more theory about the algorithms, but this is an applied course of ML. Projects are good and the readings are interessting!

Videos are good and had challenging assignments. I enjoyed learning new concepts. I wish we had one more week to practice more on advanced Machine learning concepts.

Very interesting, a lot of focus of statistica theory and little less (as compared to previous courses of specialization) on practical examples and implementation.

Good overall but some concepts and python functions need more explanations. Maybe 5 or 6 weeks are more appropriate for this course. It is too dense under 4 week.

better than the first two courses of this specialization for the content is coherent and the assignment is relevant to the knowledge taught in the course video.

Request: Can we have the instructions with a "translation" to "regular" English - for those of us who still have to get used to machine learning jargon? Thanks.

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

thank you Cousera

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.

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.