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.
von Raunak S•
a very good course for those wanting to learn Machine Learning to implement in Data Science.
von Tristan F•
Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.
von Oleksandr K•
Great course! However, it would be good to learn about artificial neural networks as well.
von Jean N•
Very nice Course. I am applying it right away for Predictions in the Telecoms environment.
von Tomer E•
Covers basics of machine learning algorithms and how to implement them in R.
von Rizwan M•
great course. could have explained more techniques in caret package with coding examples
von Connor B•
Really good exposure to machine learning and builds on the previous course in regression
von Alfonso R R•
Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.
von Brian G•
Great course. Mechanics of the final assignment are more difficult than the work itself.
von Paresh P•
Explained practical machine learning well, concepts like model stacking really helped!
von 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.
von Donson Y•
This is a fantasy course to know that how to build your first machine learning model.
von Jorge M A A•
I enjoyed a lot this module, I'll use at my daily work some of the features I learned
von Premkumar S•
Great course and farily challenging exercises! Thank You for putting this together!!
von Sai S S•
Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.
von 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.
von Aparna J•
Provides a quick and dirty look at Machine Learning. An easy way to get started.
von Jeffrey M H•
So far, one of the most fulfilling courses in the Data Science specialization!
von Ajendra S•
This a good course, giving you the inside of the data science problem solving.
von Lei M•
This course is demanding, but I feel my own progress which is very fulfilling.
von Johan V M•
I loved this course. I will absolutely take more courses on Machine Learning.
von Forest W•
Much Better than the previous courses ( Regression and Statistical Inference)
von Chris H•
Great course. I really enjoyed working on the prediction project at the end.