Opiniones y comentarios de aprendices correspondientes a Machine Learning: Regression por parte de Universidad de Washington
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Principales reseñas
KM
4 de may. de 2020
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
PD
16 de mar. de 2016
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!
876 - 900 de 988 revisiones para Machine Learning: Regression
por Sameer C
•25 de jun. de 2016
Overall, the course was really good. But, it would be great if the concept of co-ordinate descent was explained much more clearly.
por RAUL G & F - L & R E
•11 de ene. de 2018
Great course - but the exercise and exams are challenging - which is good if you have the programming experience. One really
por Krishna C
•18 de ene. de 2016
Its a great course.Please add a module about how to find the significant variables after using all these technologies.
por shashank a
•3 de jun. de 2020
Good but needs to updated according to python3, for eq:- print function need brackets in python3 but not python2
por Oleg S
•10 de oct. de 2017
...really challenging...
...have to be a real statistician and pythonist...
...need time to absorb new skills...
por Moises V
•24 de mar. de 2016
This course is well structured. It covered a good parts of details I was missing on my machine learning path.
por ayshwarya s
•5 de feb. de 2019
Well taught !!Could have been better if practical teaching was more !!I mean teaching via coding was more:)
por Varun R
•6 de feb. de 2016
Quite a hard course...
But laid great foundations and reduced the dependence on graphlab.
Thanks Emily!
por 林俊凡
•8 de dic. de 2015
Good course! Teachers are perfect and knowledge is overall, but the exercise need some improvement.
por Bob
•6 de feb. de 2017
Great course. Can only be better if we were taught in the industry standard libraries (fe. SciPy)
por Farrukh
•11 de ene. de 2017
Overall its a good course on Regression, although its more driven toward mathematics and statics.
por Piyush G
•25 de feb. de 2019
The programming assignments were tough ! but the course covers the content very effectively..
por Onwumere O B
•15 de mar. de 2016
The course is really well explained and skills obtained are quite valuable in the labor market
por Braden W
•13 de ago. de 2018
Great, difficult course. The Graphlab vs scikit thing is the only reason I dock it a star.
por Morgan M
•13 de oct. de 2017
Good, well structured. Content can get a bit dense at times, but good to be challenged!
por J G
•8 de jul. de 2018
It is a good course, it is really challenging learning how to do it from scratch.
por Steve M
•17 de nov. de 2016
A good course overall. at time, the programming assignment is somewhat confusing.
por sandeep d
•19 de ago. de 2020
nice theoretical , it would be better if you teach the given notebook examples
por Mridul C
•20 de jul. de 2020
It would have been better if the coding part was also covered in videos only.
por sanghoon.lee1@kbfg.com
•30 de oct. de 2020
좋은 내용, 자세하고 친절한 설명, 적절한 난의도가 좋았습니다. 다만, 일부 모듈이 윈도우10 환경에서 사용하기 어려운 경우가 있습니다.
por J N B P
•5 de oct. de 2020
A really good course which covers the complete concepts of regression models
por Saadullah A
•23 de jun. de 2016
Great introductory course for regression analysis and very practical indeed!
por Rafał P
•11 de oct. de 2020
Turicreate is a bit confusing. Especially, while having Graphlab in videos
por Sourabh S
•22 de mar. de 2017
Course covers in depth many topics. Only some issues with using Pandas.
por Aditya S
•17 de jul. de 2016
Good to have deep insight into regression and various popular algorithm
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