16 de jan de 2017
excellent course. Be prepared to learn a lot if you work hard and don't give up if you think it is hard, just continue thinking, and interact with other students and tutors + Google and Stackoverflow!
13 de ago de 2020
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
por Enrique A M•
18 de out de 2020
Mil Gracias Maestro Roger y demas docentes, Mil gracias U. John Hopkins, Mil Gracias Coursera.
por Gustavo C G•
7 de ago de 2019
Excellent introduction to machine learning. Great examples and detailed explanations, as usual
por Thodoris M•
10 de jul de 2018
Practical ML is a great course, that provides training in the practical aspects of the topic.
por Wesley E•
15 de fev de 2016
Great introduction with a broad set of tools and plenty of resources for more in depth study.
por André C L•
13 de dez de 2018
very good practical experience using machine learning models, especially regarding PCA usage
por Raunak S•
19 de nov de 2018
a very good course for those wanting to learn Machine Learning to implement in Data Science.
por Tristan F•
25 de dez de 2019
Lectures were very clear and helpful! Professor Leek was great at breaking down the topics.
por Oleksandr K•
11 de jul de 2018
Great course! However, it would be good to learn about artificial neural networks as well.
por Jean N•
24 de ago de 2017
Very nice Course. I am applying it right away for Predictions in the Telecoms environment.
por Tomer E•
6 de ago de 2020
Covers basics of machine learning algorithms and how to implement them in R.
por Rizwan M•
13 de out de 2019
great course. could have explained more techniques in caret package with coding examples
por Connor B•
24 de set de 2019
Really good exposure to machine learning and builds on the previous course in regression
por Alfonso R R•
13 de nov de 2018
Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.
por Brian G•
17 de ago de 2017
Great course. Mechanics of the final assignment are more difficult than the work itself.
por Paresh P•
8 de dez de 2020
Explained practical machine learning well, concepts like model stacking really helped!
por Sean D•
10 de jun de 2020
Really liked Dr. Leek's talks, and the subject matter was interesting and kind of fun.
2 de mar de 2020
Excellent course. Lots of exorbitantly useful knowledge. I`ve been lucky to start it.
por Donson Y•
4 de set de 2017
This is a fantasy course to know that how to build your first machine learning model.
por Jorge A•
13 de abr de 2016
I enjoyed a lot this module, I'll use at my daily work some of the features I learned
por Premkumar S•
16 de mar de 2019
Great course and farily challenging exercises! Thank You for putting this together!!
por Sai S•
17 de jul de 2017
Great course. Ways to curb plagiarism & cheating needs to be revisited by your team.
por Thet P S A•
21 de ago de 2020
It supports a lot in my thesis. Thank you, lecturers, at John Hopkins University.
19 de ago de 2019
Very informational with good variety of code to take back and apply to projects.
por Nikhilesh J•
2 de mar de 2018
Provides a quick and dirty look at Machine Learning. An easy way to get started.
por Jeffrey M H•
10 de jun de 2019
So far, one of the most fulfilling courses in the Data Science specialization!