Jan 17, 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!
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 CHEN X•
Dec 03, 2015
Feels like everything is solved using a caret package, while the back-end theory is only slightly touched. By using a single line command solver, student may lack the foundation for harder problems in the real world.
par Daniel J R•
Jan 17, 2019
Seems like a lot to pack into 4 -weeks. Should really be named introductory machine learning. Needs more depth and better development of the intuitions associated to each algorithm class to match the expectations.
par Vinay K S•
Feb 19, 2017
I like initial courses like Exploratory Data Analysis but later on it got harder to follow the lectures. A lot of topics were just rushed through and little effort was made to make them engaging or interesting.
par Andrew W•
Mar 13, 2018
Very interesting subject area, I think there is simply too much to cram into one course. Should consider spliting the subject into 2 courese or simply concentrate on only 1 or 2 main areas (e.g. cla
par Andrew W•
Feb 10, 2017
The videos are really tutorials on R functions for machine learning and data wrangling. A good substitute for "Machine Learning" by Andrew Ng in terms of managing data sets and exploratory analysis.
par Robert C•
Aug 01, 2017
This course needs swirl assignments. I did fine on the quizzes and assignments, but I only feel like I learned a minimal amount of machine learning, even practical machine learning.
par Raul M•
Feb 12, 2019
The class is good but it is too simple. I expected the professor will provide more detail about the models. This is just an introduction and weak for a specialization.
par Brian F•
Aug 16, 2017
There was some good material in here, but it was rushed and is deserving of a much longer course - especially compared to some of the other modules in this course.
par Chuxing C•
Feb 05, 2016
the lack of assisted practices made it harder to digest the contents and methodologies.
strongly suggest to develop some practice problems with explanations.
par Michalis F•
May 26, 2017
Good in introducing caret package and getting some experience in running algorithms. Was expecting more in-depth discussion about the methods though.
par Davin G•
Aug 26, 2019
It's an excellent crash course to machine learning but the stats part was rushed. Had to look up external resources to understand what was going on.
par Léa F•
Jan 09, 2018
Rather good overview. The contents could dig deeper into each subject, and it would improve the course a lot if some exercises in Swirl were added.
par Miguel J d S P•
May 19, 2017
I didn't enjoy the supporting materials and the quizzes weren't very interesting. The final project was fine.
The subject is super interesting.
par Max M•
Dec 12, 2017
Should have gone into more depth and included swirl lessons, like previous courses. The quizzes were very challenging though, so that helped.
par Kyle H•
May 09, 2018
A brisk introduction to some of the basics of Machine Learning. Will leave with an understanding of a few ways to use the caret package.
par Manuel E•
Aug 08, 2019
Good course, but either explanations are too fast paced for the level of difficulty, or my neurons have began to decay with age.
par Noelia O F•
Jul 19, 2016
Good course for learning the basics of the caret package. However, it is not a good course for learning machine learning.
par Joseph I•
Feb 01, 2020
Material was very interesting but was covered at a very high level and a lot of additional learning was required.
par José A G R•
Feb 05, 2017
Superfluous but the existence of the package "caret" covers the gap of other libraries like "skilearn" of python
par BAUYRJAN J•
Mar 01, 2017
Instructor rushes the course and does not explain much in the same level of details as respective quiz requires
par Hongzhi Z•
Jan 03, 2018
All the formulas and code in slides are too abstract. If can be more charts to interpret that will be better.
par Henrique C A•
Oct 14, 2016
Exercises could be more complete, and some are outdated for latest R, giving slightly different results.
par Alex F•
Dec 30, 2018
A fine introduction, but there are much more engaging and better quality courses out there...
par Yingnan X•
Feb 11, 2016
If you have taken Andrew Ng's machine learning class, it's not necessary to take this one.
par Yohan A H•
Sep 06, 2019
I think it was a very fast course and I feel more real examples would have been useful,