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.
par Enrique A•
Mil Gracias Maestro Roger y demas docentes, Mil gracias U. John Hopkins, Mil Gracias Coursera.
par Gustavo C G•
Excellent introduction to machine learning. Great examples and detailed explanations, as usual
par Theodoros M•
Practical ML is a great course, that provides training in the practical aspects of the topic.
par Wesley E•
Great introduction with a broad set of tools and plenty of resources for more in depth study.
par André C L•
very good practical experience using machine learning models, especially regarding PCA usage
par Raunak S•
a very good course for those wanting to learn Machine Learning to implement in Data Science.
par Tristan F•
Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.
par Oleksandr K•
Great course! However, it would be good to learn about artificial neural networks as well.
par Jean N•
Very nice Course. I am applying it right away for Predictions in the Telecoms environment.
par Tomer E•
Covers basics of machine learning algorithms and how to implement them in R.
par Rizwan M•
great course. could have explained more techniques in caret package with coding examples
par Connor B•
Really good exposure to machine learning and builds on the previous course in regression
par Alfonso R R•
Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.
par Brian G•
Great course. Mechanics of the final assignment are more difficult than the work itself.
par Paresh P•
Explained practical machine learning well, concepts like model stacking really helped!
par 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.
par Donson Y•
This is a fantasy course to know that how to build your first machine learning model.
par Jorge M A A•
I enjoyed a lot this module, I'll use at my daily work some of the features I learned
par Premkumar S•
Great course and farily challenging exercises! Thank You for putting this together!!
par Sai S S•
Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.
par 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.
par Nikhilesh J•
Provides a quick and dirty look at Machine Learning. An easy way to get started.
par Jeffrey M H•
So far, one of the most fulfilling courses in the Data Science specialization!