recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
By Wesley E•
Great introduction with a broad set of tools and plenty of resources for more in depth study.
By André C L•
very good practical experience using machine learning models, especially regarding PCA usage
By Raunak S•
a very good course for those wanting to learn Machine Learning to implement in Data Science.
By Tristan F•
Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.
By Oleksandr K•
Great course! However, it would be good to learn about artificial neural networks as well.
By Jean N•
Very nice Course. I am applying it right away for Predictions in the Telecoms environment.
By Tomer E•
Covers basics of machine learning algorithms and how to implement them in R.
By Rizwan M•
great course. could have explained more techniques in caret package with coding examples
By Connor B•
Really good exposure to machine learning and builds on the previous course in regression
By Alfonso R R•
Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.
By Brian G•
Great course. Mechanics of the final assignment are more difficult than the work itself.
By Paresh P•
Explained practical machine learning well, concepts like model stacking really helped!
By Sean D•
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.
By Donson Y•
This is a fantasy course to know that how to build your first machine learning model.
By Jorge M A A•
I enjoyed a lot this module, I'll use at my daily work some of the features I learned
By Premkumar S•
Great course and farily challenging exercises! Thank You for putting this together!!
By Sai S S•
Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.
By Thet P S A•
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.
By Nikhilesh J•
Provides a quick and dirty look at Machine Learning. An easy way to get started.
By Jeffrey M H•
So far, one of the most fulfilling courses in the Data Science specialization!
By Ajendra S•
This a good course, giving you the inside of the data science problem solving.
By Lei M•
This course is demanding, but I feel my own progress which is very fulfilling.
By Johan V M•
I loved this course. I will absolutely take more courses on Machine Learning.