Overall it was a great experience.

I think the instructor should've adapted a better technique to teach more proficiently

Well explained course with good material in python, may be an additionnal week is needed for the unsupervised learning

This is a great course. I recommend using the Introduction to Machine Learning book to complement the lecture videos.

Good introduction course on machine learning algorithms. The books and the readings are recommended to look through!

You will learn a lot. But the course is a little bit fast for regular students. Assignments deal with real problems.

A few more code examples would have helped better understand various packages provided by Python and how to use them

Great course on doing machine learning use sklearn and put little but enough explanation of the theories behind it!

It would be nice to have more practical assignments like the last one! Anyway it was very interesting! Thank you!

Amazing Course but Please add some more theory and concepts in Neural Networking.Overall it is a good experience.

Very good curriculum with a hands on project. However thera are some limitations with the platform with grading

Complete course on supervised learning

Would be nice to cover PCA and unsupervised learning in the assignments

the final assignment was too hard compared to the other assignments and the contens given in the last module

A little dated. Overall a good introduction. The informal explanation of SVM was particularly effective.

course is very informative with hands on details, assignments and quizzes are very useful for assessment

Nice there could just be a bit more of a case study to see the difference and decision ways in practices

great course but could be improved with a better explaining of the class on board for abstract concepts.

Very intuitive course...and carefully designed so that it does not overwhelm the students with details

Compared to previous two courses in this specialization, this course need more time for self-learning.

Great course overall. Only reason for 4 stars is some of the assignments could use a bit more clarity.

Easy to learn the course, just be focussed. Its an applied ML course, not to expect any mathematics.

Challenging, but rewarding. I am glad I finished it. Thanks!! I really feel I learned a new skill.

I found the dataset in the last assignment difficult to interprit. I was hoping for a simpler one.

Course Content was excellent. I really learned a lot. Assignment 4 was a hassle to submit though.

Wish there were a little more theory, realize it's an "Applied" course but still seemed lacking

Teaching by the professor is very good and i learnt every thing from scratch thankyou coursera