Learner Reviews & Feedback for Practical Machine Learning by Johns Hopkins University
About the Course
Top reviews
MR
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
AD
Feb 28, 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.
476 - 500 of 611 Reviews for Practical Machine Learning
By Nilrey J D C
•Dec 1, 2017
Good introduction to machine learning
By Vincent G
•Oct 22, 2017
appropriately challenging material.
By Nikit P
•Oct 7, 2016
Nice Course for every New candidate
By Tiziano V
•May 25, 2017
Interesting the final assignment.
By Rahul K
•Mar 7, 2016
Really Well Structured Course!!
By Robert R
•Jul 20, 2016
Just the right level of detail
By Erik K
•Jul 8, 2019
Very good. Learned a lot
By Bassey O
•May 3, 2016
Very informative course.
By Qian W
•Sep 9, 2018
need eva on my project
By Javier R
•Oct 14, 2017
Love this class !
By Mehul P
•Oct 3, 2017
Good ML overview.
By Lilia K R E
•Mar 30, 2016
Muy buen curso :)
By Tiberiu D O
•Sep 21, 2017
A good course!
By RAO U D K
•Sep 17, 2020
Excellent job
By Ray K
•May 2, 2018
pretty good!
By Piyush P
•Jul 13, 2017
good context
By Prahlad S
•Jun 18, 2020
great hands
By Tim B
•Apr 22, 2017
good course
By Mohammad M
•Apr 12, 2021
systematic
By Rohit K S
•Sep 21, 2020
Nice One!!
By Ryan R S
•Aug 25, 2020
Very Fun
By Krishna R N
•Apr 19, 2018
nice
By Sanket P
•May 27, 2019
ok
By Yury Z
•Feb 3, 2016
I'm somewhat disappointed. I attend almost all other courses in this specialization (except of "data product") and this one is, on my opinion, the weakest one. A lot of links to useful information though. This is more reference guide rather than a real training course.
I can say even more, initially I start other courses of this specialization just because they were marked as strong prerequisite to this one. For now, I think all other courses of the specialization were much more valuable for me than this one.
I've also took Andrew Ng course on Machine Learning in the past, and my learning experience was much better. In lectures on some concepts (like regularization) I'm pretty sure I would not understand anything if I had not been familiar with the subject before..
By June K
•Sep 5, 2019
This course does not have the depth it needs, but I do learn a few valuable things. I suggest breaking this course into 2 courses and give more lectures on using caret package and other packages as well. Another thing is I could not ever find the correct answers for the quizzes, and most of the time has to guess and take the quizzes 3 times to get things right.
I invested time and effort in doing the last project; but got a not so good grade due to peer review process. I got every requirement done and even have a direct link to my HTML final report but 2 out of my 4 my peer reviewers have limited knowledge of GitHub could not find my link to HTML file. That said with a higher level courses, peer review process has to be different.
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