The course is easy and good for beginners. Specifically, case study approach is quite good and furthermore hands on practice assignments greatly improves learning.

Excellent course, gives good overview of all the different ML algorithms.

Case studies and assignments are really good and help a lot in understanding the concepts.

This course builds a quick but engaging overview of machine learning. The structure is more than amazing, the style of teaching is very narrative and very helpful.

It is a great course to learn the fundamentals of Machine Learning, also Emily and Carlos are excellent tutors, they explain very well and they give good examples.

Good course. Strongly application-oriented, intermediate level but with some basic points as well. I think the course could improve a bit on the theoretical side.

Amazing course. It has given me good base knowledge of ML algorithms, I consider the course a "map" for further exploration of Machine Learning world. Good start!

Thank you very much for this course! I really appreciate the effort put into the notebooks and the preparing of the data, and the graphlab library is really cool.

the course is great. I love case study approach for the machine learning foundation. I really love to go on learning in the following parts of the specialization.

I believe it would be very useful if the authors could provide a lecture review about python commands. Specially the ones they are going to use during the course.

Excellent, practical introduction to the topic -- particularly by using use cases that everyone can relate to in order to understand how machine learning "works".

Carlos and Emily provide excellent lectures. But it would be better if correct answers and detailed explanation can be provided for each assignment in the course

course and the instructors were very good.

But figuring out how to install all the softwares in windows using wsl and copying files into that was a little tricky.

On behalf of our customers, we are focused on solving some of the toughest challenges that hold back machine learning from being in the hands of every developer.

Very good starter course for Machine Learning with enough practice examples. It was really helpful for me to understand what ML is and its real time application.

Excellent intro course. Emily and Carlos are really great. Very good balance of depth, practical application, and above all: intuitive, thoughtful explanations.

This course cover all the basic fundamentals require for Machine Learning.

Doing Assignment before this were never interesting. I am enjoying the assignment part.

This course is the best course that i have learnt till now. Wonderfully designed and presented.

Thank you to carlos sir , emily mam and entire team of coursera.

The best ever course a student can have on machine learning.really enjoyed the course,thanks for all the efforts put on this course by carlos sir ang emily mam.

My favourite machine learning course for a starter, not only about these fundamental knowledge, the hands on practice of Python is really helpful for a beginner

Best bang for your buck for getting hands on experience with popular machine learning techniques. Just the right amount of difficulty for an entry level course.

Amazing Course. Recommended to anyone with basics of Python. This is one which gives overall a good coverage on state of the art approaches to machine learning

Excellent course, I particularly appreciate how concepts are introduced with examples to set the terrain for the consequent courses. Will definitely recommend.

Great introduction to machine learning concepts. I look forward to the rest of the specialization and to developing some of my own methods and supporting code.

The course was too good. I really enjoyed it & have learned a lot from this course.

Thank you, Coursera for letting me have this wonderful course.

Thanks a lot.

I really liked case study approach. I think one will be able to appreciate the application of the Machine learning along with the overview of the ML concepts.