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.

this is an intermediate level but it blends in well with beginner's basics, allowing even people with less experience or perhaps only theory to jump in right away. Also makes foundation for advanced level. i recommend it.

Amazing course. I learnt a variety of machine learning model here. Complete the course, I feel confident in understanding and applying them. It is also the foundation for me in further learning of machine learning. Thanks!

The course content provides a great insight into how we can create different types of models using Machine Learning algorithms. This is the best place to start if you want to really pursue a career towards Data Science.

It was a great course to begin Machine Learning roadmap...

I learned Regression, Decision Tree, Support Vector Machine, KNN in classification topic,

and k-means in clustering topic.

I highly recommend this course for you.

The course is really good and comprehensive. You need to have some prerequisites of data visualization but the best aspect of the course is the instructor who teaches everything very smoothly and clears all your doubt

Thanks a lot to the Course Mentors...Highly Informative and explained in a detail.I wish there should be little more elaboration needed as this is completely new for Industry.More Practical Assignments should be given

The ideal course for individuals who are passionate about machine learning and fall within the beginner to intermediate skill level would offer top-notch instruction coupled with engaging and practical lab exercises.

Great course that serves much knowledge for newcomers to the data science field about machine learning and its many algorithms. It is a bit challenging on the peer assignment section but the knowledge is well earned.

The best part of this course is the final project. This is because they provide you with working code in the assignments, but you need to adapt it to your needs in the final project. The rest of the course is okay.

Crisp and clear course. Professors, up to the point and very clear explanation. The provided notebooks were super helpful for the final assignment submission. Everything was just awesome and organized well in detail.

A wonderful course for beginners. Linear Regression, Classification (K-NN, DT, SVM, logistic regression) and Clustering algorithms (K-means, Hierarchical, DBSCAN) with its respective Python codings clearly explained.