Learner Reviews & Feedback for Machine Learning: Regression by University of Washington
About the Course
Top reviews
Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the assignments...it’s just that turicreate library that caused some issues, however the course deserves a 5/5
I really enjoyed all the concepts and implementations I did along this course....except during the Lasso module. I found this module harder than the others but very interesting as well. Great course!
851 - 875 of 974 Reviews for Machine Learning: Regression
By Suneet T
•Excellent course to take a deep dive into Regression concepts. Could have been better if the hands on part would have been in R - Programming as well.
By Thakur S S
•Amazing course, with focus on both theory and application part.
Only problem was the use of GraphLab, would have been lot better if pandas was used
By ANGELICA D C
•Fue un buen curso, pero noté que a veces cambiaban las fórmulas y no explicaban el porqué. Eso me causó mucha confusión y algo de tiempo perdido.
By Nguyễn T T
•like it so far, after one week
i like the way they let us code the procedures ourselves.
expect it to level up in the upcoming weeks and classes
By James Q
•Excellent materials. I don't agree with some of the programming principals, but the ML stuff is spot on and I'm using these lessons daily.
By Ayush S
•Excellent series of courses. Before this was confused what was my interest in Computer Science, now I've found Machine Learning, perfect.
By Kirill D
•I think you should make update process of Graphlab more intuitive, this was the only problem I have faced during this wonderful course!
By Diego N
•Better deep understanding of common machine learning concepts. Still learn some different things than those exposed on andrew ng course
By Amirhossein S
•Well, I think Carlos teaches way more enthusiastically and energetically than Emily! But I did enjoy my course on this specialization.
By Baubak G
•I think the forum activity is a bit low, and I think in some cases the things are overly describes whereas in others it goes too fast.
By Sameer C
•Overall, the course was really good. But, it would be great if the concept of co-ordinate descent was explained much more clearly.
By RAUL E G
•Great course - but the exercise and exams are challenging - which is good if you have the programming experience. One really
By Krishna C
•Its a great course.Please add a module about how to find the significant variables after using all these technologies.
By shashank a
•Good but needs to updated according to python3, for eq:- print function need brackets in python3 but not python2
By Oleg S
•...really challenging...
...have to be a real statistician and pythonist...
...need time to absorb new skills...
By Moises V
•This course is well structured. It covered a good parts of details I was missing on my machine learning path.
By Ayswarya S
•Well taught !!Could have been better if practical teaching was more !!I mean teaching via coding was more:)
By Varun R
•Quite a hard course...
But laid great foundations and reduced the dependence on graphlab.
Thanks Emily!
By 林俊凡
•Good course! Teachers are perfect and knowledge is overall, but the exercise need some improvement.
By Bob
•Great course. Can only be better if we were taught in the industry standard libraries (fe. SciPy)
By Farrukh N A
•Overall its a good course on Regression, although its more driven toward mathematics and statics.
By Piyush G
•The programming assignments were tough ! but the course covers the content very effectively..
By Onwumere O B
•The course is really well explained and skills obtained are quite valuable in the labor market
By Braden W
•Great, difficult course. The Graphlab vs scikit thing is the only reason I dock it a star.
By Morgan M
•Good, well structured. Content can get a bit dense at times, but good to be challenged!
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