Mil Gracias Maestro Roger y demas docentes, Mil gracias U. John Hopkins, Mil Gracias Coursera.

Excellent introduction to machine learning. Great examples and detailed explanations, as usual

Practical ML is a great course, that provides training in the practical aspects of the topic.

Great introduction with a broad set of tools and plenty of resources for more in depth study.

very good practical experience using machine learning models, especially regarding PCA usage

a very good course for those wanting to learn Machine Learning to implement in Data Science.

Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.

Great course! However, it would be good to learn about artificial neural networks as well.

Very nice Course. I am applying it right away for Predictions in the Telecoms environment.

Great course!

Covers basics of machine learning algorithms and how to implement them in R.

great course. could have explained more techniques in caret package with coding examples

Really good exposure to machine learning and builds on the previous course in regression

Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.

Great course. Mechanics of the final assignment are more difficult than the work itself.

Explained practical machine learning well, concepts like model stacking really helped!

Really liked Dr. Leek's talks, and the subject matter was interesting and kind of fun.

Excellent course. Lots of exorbitantly useful knowledge. I`ve been lucky to start it.

This is a fantasy course to know that how to build your first machine learning model.

I enjoyed a lot this module, I'll use at my daily work some of the features I learned

Great course and farily challenging exercises! Thank You for putting this together!!

Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.

It supports a lot in my thesis. Thank you, lecturers, at John Hopkins University.

Very informational with good variety of code to take back and apply to projects.

Provides a quick and dirty look at Machine Learning. An easy way to get started.

So far, one of the most fulfilling courses in the Data Science specialization!