Jan 16, 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!
Aug 13, 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
创建者 Brian F•
Aug 15, 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.
创建者 Chuxing C•
Feb 5, 2016
the lack of assisted practices made it harder to digest the contents and methodologies.
strongly suggest to develop some practice problems with explanations.
创建者 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.
创建者 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.
创建者 Léa F•
Jan 9, 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.
创建者 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.
创建者 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.
创建者 Kyle H•
May 9, 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.
创建者 Manuel E•
Aug 8, 2019
Good course, but either explanations are too fast paced for the level of difficulty, or my neurons have began to decay with age.
创建者 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.
创建者 Joseph I•
Feb 1, 2020
Material was very interesting but was covered at a very high level and a lot of additional learning was required.
创建者 José A G R•
Feb 5, 2017
Superfluous but the existence of the package "caret" covers the gap of other libraries like "skilearn" of python
创建者 BAUYRJAN J•
Mar 1, 2017
Instructor rushes the course and does not explain much in the same level of details as respective quiz requires
创建者 Hongzhi Z•
Jan 2, 2018
All the formulas and code in slides are too abstract. If can be more charts to interpret that will be better.
创建者 Henrique C A•
Oct 13, 2016
Exercises could be more complete, and some are outdated for latest R, giving slightly different results.
创建者 Alex F•
Dec 29, 2018
A fine introduction, but there are much more engaging and better quality courses out there...
创建者 Yingnan X•
Feb 11, 2016
If you have taken Andrew Ng's machine learning class, it's not necessary to take this one.
创建者 yohan A H•
Sep 6, 2019
I think it was a very fast course and I feel more real examples would have been useful,
创建者 fabio a a l l•
Nov 14, 2017
Poor supporting material in a course that tries to cover a lot in a very limited time.
创建者 Rafael S•
Jul 24, 2018
this course seemed too rushed for me, too little content for such a extense subject
创建者 Raj V J•
Jan 24, 2016
more needs to be taught in class. what is taught is not sufficient for quizzes.
创建者 Surjya N P•
Jul 2, 2017
Overally course is good. But weekly programming assignments will be great.
Dec 17, 2016
Too different for beginners but not deep enough for ones already know R.
创建者 James F•
Sep 10, 2016
Quizzes are useful exercises but need to do a lot of self studying.
创建者 Philip A•
Feb 26, 2017
mentorship was great, but the video lectures were almost useless.