Useful for understanding the application part of ML whereas Andrew Ng's course gives a more in-depth understanding of the topics

The course was very well designed. The pace of the lectures are perfect unlike other course when the instructor moves very fast.

Broad coverage.

Good project assignment.

Staff not answering questions very promptly at discussion forum.

Cannot download slides.

The course material and Professor Kevyn Collins-Thompson is awesome. A person who's seeking to learn ML should try this course.

World class course.

Covers a lot of core machine learning subjects in an accessible way with a practical focus in Python.

Thanks!

Nice pragmatic approach how to apply machine learning. Compelling examples, datasets and useful tips how to visualise features.

For applied machine learning, outstanding. It could be improved with bit more theory, which gives more insight to the concept.

Very good course, for people who want to apply Machine Learning without worrying too much about the theoretical aspects of it.

Excellent course! It teaches you the basics of Machine Leaning, and merges the knowledge already acquired in the first module

Had all the basics of Machine Learning algorithms, but they need to update the syllabus with some trending boosting concepts

Great! loved the final project, which is a machine learning project that you can actually put on your resume and talk about!

I am very satisfied with this course. I learnt a lot of techniques from the course that I can apply in my research project.

very good course for intermediate level learners .learned a lot in such a short time.thanks to prof.Kevyn Collins-Thompson.

It is a great course with best practices. Thank you for your time and consideration. I learnt many things from your course.

If anyone wants to gain practical skills in Machine Learning with Python, this course for them. Thank you for this course.

Tough class, learned not to give up and keep trying. Even went back and redid some quizzes in order to get a better grade.

A very useful course that gives very good overview for the applied side of machine learning for solving various problems.

Concepts were clearly taught and helped me gain knowledge in techniques used in machine learning. Recommend it to others.

Very thorough and very fast, very self-directed, but with great resources. If you do the work you will definitely learn!

An apt course who want to become Data scientist beautiful Basics of Machine Learning which is one of major topics in it.

First assingment is kinda off the track with the topic mentioned in first week. overall very good and structured course.

Excellent course, but be ready to spend some time on debugging the automatic grader especially for the final assignment!

Excellent course. One suggestion would be to make this a 6-week course due to the large amount of materials it covers.

Covered a lot of topics. Helps a beginner to get a good overview of the various tools and concepts on Machine Learning.

Excellent course! Learned a lot both about the concepts and how to apply the methods using scikit-learn. Very good job!