Aug 14, 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
Mar 01, 2017
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 Nicholas T•
Jul 03, 2020
Very good course. Fast paced and a lot of self study required to fully understand some of the nuances of the R (if you're not familiar with the language).
par Eric L•
Jun 02, 2016
Great course, very high paced with a lot of information. would have been great to add two more weeks and another project to use more machine learning
par Igor H•
Sep 10, 2016
Rather basic, nevertheless a good introduction to the topic of machine learning with R. Mostly concentrated on applications of the R caret package.
par Lee G•
Sep 22, 2017
A very good starter course on Machine Learning in R with great links to various resources that students and delve deeper into the various topics.
par Yashaswi P•
May 24, 2020
Good Course the covers a lot of practical aspects and relevant to the real world solution.
Good References and Learning Materails are available
par Ann B•
Sep 06, 2017
Good class to get the basics of Practical Machine Learning. This course is best taken as a part of the data science series from John Hopkins.
par Hernan S•
Dec 13, 2016
The quiz should be constructed in a way that depends less on the version of the libraries used. The rest of course was excellent.
par Jakub W•
Sep 24, 2018
Vary practical approach, almost no theory or in-depth explanation of the subject, but a lot of focus on applying ML in practice
par Md F A•
Aug 14, 2017
To me with this course, the best learning aspect is the final project; how to use Machine Learning Algorithms on data analysis.
par Rhys T•
Oct 10, 2017
Good course, some aspects of the assignment were a bit beyond the scope of what the course teaches but overall I learnt a lot.
par Níck F•
Sep 27, 2016
Was pretty good, but quite short and some assignments did not align as well with the lecture material as they could have.
par Michael O D•
Jan 10, 2020
This is a great course, but it would be good to see it updated to use the newer evolution of the caret package, parsnip.
par Tongesai K•
Feb 08, 2016
Very good course. I am very knew to this topic but am sure will find a lot of application in my speciality - geophysics
par Kevin S•
Mar 03, 2016
Good introduction to machine learning, might suffer a bit from trying to cover too much ground in such a short time.
par Sulan L•
Nov 19, 2018
I hope we can have more détails in this cours and to see how to use the algorithms for the big data. Thank you.
par A. R C•
Oct 20, 2017
I enjoyed it but it needs indeed to deep into many concepts, which are just briefly named during the course.
par marcelo G•
Aug 15, 2016
Great course, very demanding, but it could use more reading material, ebooks instead of links on video.
par Jeffrey E T•
Mar 28, 2016
Good overview of available techniques and the Caret package. Will get you started in machine learning.
par BIBHUTI B P•
Jul 24, 2017
This was a superb module which created a deep learning insight within me focusing on future technology
par João R•
Aug 20, 2017
Got confused how to perform cross validation and when. Other than that, very practical. Great job.
par Daniel R•
May 14, 2016
The course is really great, however it should last a little longer, 4 weeks is hard to accomplish
par César A C•
Jul 26, 2018
Very interesting course. May be a little bit harder than the previous ones but it could be done.
par Greig R•
Nov 14, 2017
Good course, I learnt a lot. It does need to be updated with more modern versions of software.
par Pieter v d V•
Jun 28, 2018
Very quick overview. If you really want to know something about it read the reference books.
par Guilherme C•
May 18, 2016
Title says everything. Practically and basically no theory explained. Good course though.