The project which were given to us gave us an insight as to what actually happens with the models you use, however I also prefer to go through machine learning more if you want to gain more knowledge as to how we can use operation properly

The course is good for someone who has some knowledge of machine learning. Teaches you many new things. Overall i good learning experience. I would suggest this course to the ones, who wants their career in data analyst or data scientist.

Very good course to learn or know how all these algorithms are used and predict things in real world. Though there is more to learn and go deep into it but atleast it will provide you a basic level of understanding which is a good start.

Awesome course fantastically set out. I feel like it covered a huge range of topics from some nice introductory stuff up to really great advanced techniques. It's given me a lot to think about and work on in the future! Thanks very much.

Very nice course. I was able to get the basic idea of machine learning after completing this course. Hope I will be able to build upon what I have learned here. Thanks to course instructors and all the people who are behind this course.

This is one of the best machine learning courses i have taken with good practicals and nice examples. Moreover the instructor was good and has a funny way of talking which i enjoyed. Overall a full score worthy course. Keep it up IBM!!

I really liked the flexibility of this course. It worked well with busy scheduling, and the expectations were clear and upfront. A great introductory course on machine learning that makes me eager to continue with the specialization.

This course is exceptional in IBM Data Science Professional Certificate Program. It provides newcomers with the ready-to-use tools in machine learning. I especially liked the part on recommendation systems and wish it had more content!

The course was awesome, I got a good understanding of the ML algorithms. If the explanation would have been along with the python code, then it would have been better for understanding.

But still, I must say the course was just awesome.

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

Loved the video and loved the exercises. My only criticism would be greater opportunities to practise the coding in the labs rather than just actioning the code already given - I guess that might be more specialist though. Thank you.

Gone through so many courses but didn't find like this before. This course is too good. As an intermediate, I can say that this course described very complex topics in such a easy way making it very much understandable for beginners.

For absolute beginners, this course is really amazing. If anyone don't know anything or any algorithms of machine learning. Then this course is for them. So, i would like to say for beginners this course is really amazing. Thank you!

The course was helpful and the final assignment was very good. You have to go through all of the concepts again. But it would be great if assignments would be different for everyone, then validating part would be interesting as well.

Really it is Worthfull Course. Helpfull Training Method. Nice Videos & Specially The Labs Are Worthfull & Helpfull.

I extend my thanks and gratitude To Coursera & IBM To give me chance learning. i Say Best Wishes & Regards. u r great

Very well structured and interesting course! Would be nice if you could include a small introductory section about Python code basics, in order for the code, that would be later used during the course, to be much easier understood.

Awesome machine learning course. Unlike most of other courses which come with technical mathematic jargon, this course explain everything in laymen term. Even myself without in depth knowledge in maths can understand it. Well done.

Overall good introduction to machine learning, it would be nice for the final assignment to create some kind of test to see if everybody understands the concepts. Now the course is passable with copying code of the previous weeks.

The course provides an excellent overview of some essential algorithms in the field of Machine Learning. The instructor has the ability to explain the core idea of each algorithm in an intuitive way. I liked the course so much :)

This course is awesome in one word. This course is great for learning the classification algorithms in such an ease with all the power these algorithms possess. I loved the way instructor SAEED AGHABOZORGI instructed the course.

This is a very informative course. The content is amazingly put together. Not only is this course rich in concepts of Machine Learning, but it is also robust in the implementation of ML with Python. This course is a must-read!

Thank you very much. It was not easy, but very interesting to learn, to create and to code.

This course, especially its practice part got me deeper understanding what else I should to learn and read about.

Thank you! Good luck!

Very interesting course. What I like the most are the practial exercises, which can be easily followed and you can always play with them trying different cases by your own. The theory is also very well organized. Thank you!

Teaching was good but since the title refers ML with python expected more deep dive with some ML associated libraries in python and implementation. The course was more over Theoratical but good for the beginners.

Thanks alot

I enjoy this course - the content, the pace and the Notebook exercizes. It didn't bog me down and gave me a great insight into what Supervised and Unsupervised ML entails. I have lots to learn and practice ahead. Thank you.