Very good course, I recommend it for anyone who wants to discover machine learning. Don't forget to practice, especially the labs.

I really liked this course, the videos are well done and the exercises perfect, it gives you the chance to go as deep as you want.

A very well structured course, the content covers all basic aspects of ML with good sample datasets. Thank you Joseph and Saeed !!

This course is excellent. It is a very good approach to ML with python without being a mathematician. So forward and well done IBM

Awesome experience and learning platform on learning machine learning algorithms, clustering techniques and recommendation systems

That was an amazign journey for me. The explanation is very simple and understandable. The knowledge I have gained is invaluable.

This course clearly gave me the insights of data analysis. It also help me to know more about IBM cloud computing. I am impressed

Really well structured course with the right amount of guidance without excessive hand holding due to which the learning is real!

Real informative and challenging! A lot of technical things taught and the final assignment was very interesting and challenging.

One of the best courses to learn about Machine Learning with Python. All the topics are very well explained with good examples.

This course pushed me out of my comfort zone and helped me realise as well as achieve my potential when it comes to porgramming.

The professor was clear and concise in explaining concepts, very great course and Im glad a took it. Well done IBM and Coursera!

I really like this course. I have learned a lot from this course. It's really helping me. Personally, I recommend this course!

Great course which explains the fundamental of ML algorithms.

However, if would be more beneficial if you have python background.

It was an awesome experience on this machine learning platform. The experience gained is very useful for real world applications

Awesome course to hands on learning of machine learning algorithms such as k-nearest neighbor, recommender systems for a layman.

The course was very explanatory and the professor was teaching in a very unique way. Really thankful to course era and the prof.

I like the fact that there is ample amount of practical exercises that implies you are not going to forget these things easily.

An engaging course that covers the core concepts across various areas in ML and provides the right level of hands-on exercises.

Good course for getting started with basics. Carry on your self-study after this course to get even better at machine learning.

Dear all.

It would be grate if you will add roc-curver and ordinal regression examples into this corse.

Sincerely, Sergey Kutenko

Directed towards subject matter concerned and very much learner friendly. Thanks to the team members who developed this course

I'm pretty happy with this course. It's helping me open up my knowledge and take a different look at data-related disciplines.

This is one of the best introductory courses anyone can take to launch your tech career. I got value from Coursera every time.

Videos and Labs are designed in a way that a candidate will learn very easily. Thank you the Coursera Teaching & backend Teams