Mar 17, 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!
May 05, 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
교육 기관: Chengcheng L•
Dec 28, 2015
I feel I understand regression models better than before. But I still need to read more books on the same topic to actually convert what I learned here to long term memory :)
교육 기관: Lavaneesh S•
Sep 17, 2019
Fantastic Course, allowed me to gain insights to regression. Both the instructors like always have been excellent. Shout out to coursera for allowing me to take this course!
교육 기관: 陈哲鸿•
May 19, 2018
It's a really nice course.What i've learned in this course: how to implement a regression model through my own hands, assessing performance, feature selection...and so on.
교육 기관: clara c•
May 13, 2016
This course is very well organized and all the information is relevant. Everything is explained in great detail. The exercises really make you feel that you are learning.
교육 기관: Do H L•
Jan 14, 2016
All the courses in this specializations are very well-made and rigorous. I think all MOOCs, especially techinical ones, should be as well-designed as this or even more.
교육 기관: Fahim K•
Jan 06, 2016
The course is really helpful. It has started with simple Regression model and gradually build the different advance regression model. Thanks for this wonderful course.
교육 기관: Aditya K•
Aug 15, 2016
rigorously explained some of the most important algorithms in regression world, also the pros and cons of using certain algorithm for certain conditions. totally worth
교육 기관: Sahil D•
May 16, 2016
Good overall theoretical and practical explanation of the material, I was also able to use scikit learn and pandas without any difficulties instead of graphlab create.
교육 기관: isanco•
Jan 25, 2016
Great class (really liked the graphical interpretations of Lasso and Ridge optimizations).
Perhaps some quizzes (and especially assignements) could be more challenging?
교육 기관: Thomas K A W•
Jan 08, 2018
Great course! I love the instructors and the thoroughly designed structure of their course. The effort they put into this course certainly shines through every video!
교육 기관: Jessie J S•
May 12, 2018
I love this course! It explains more about Regression itself and not just discussing on how to use libraries for it! Very intuitive and informative at the same time!
교육 기관: Kapil K•
Feb 14, 2017
its a great course. little bit disappointed from the decision of not continuing Recommended systems and capstone project. PLEASEEEEEE roll out course 5 and 6 as well
교육 기관: Saheed S•
Sep 19, 2017
Nice course. I started with this specialization as a beginner. I was very intuitive and great course I would recommend to others people interested in data science.
교육 기관: Santosh G•
Jun 10, 2016
The Regression course is pretty amazing. Got to learn a lot of cool stuffs. Emily Fox made everything clear. Glad to have taken this course and the specialization.
교육 기관: Hritik K S•
Oct 27, 2019
Coursera is shaping me in the best version of myself through knowledge and guide. I am always be grateful of god that I found Coursera. My online teaching guru!
교육 기관: Ian F•
Jun 09, 2017
Great course - you'll become much more accustomed to Python if you aren't already (I'm an R convert) and really learn the principles behind regression analysis.
교육 기관: Kris D•
Dec 24, 2016
Covered a lot of the common practical aspects of regression modelling and also covered the calculus derivations for those who are curious. Great course overall.
교육 기관: Hongbing K•
Jan 02, 2016
Very clear and thorough explanation on regression and implementation details. The closed-form calculation and comparison against gradient descent is excellent.
교육 기관: Emil K•
Jan 14, 2020
I love how this course goes deep into the math, yet makes it quite approachable even if you have no math skills. Emily is so good at explaining the concepts!
교육 기관: Salomon D•
Aug 28, 2018
Great background through applications of linear regression and explanations that are step by step that allow the understanding and construction of learning.
교육 기관: Marcus V M d S•
Oct 07, 2017
Thank you for all the effort you put in the exercises and the data. It was a great course! Perhaps you could put references for further study of the topics?
교육 기관: Melwin J•
Jul 30, 2017
The best course on regression I have attended so far !!! I really liked the way professor explained the concepts. Has resources on in-depth details as well.
교육 기관: Mantraraj D•
May 05, 2018
The course should move away from the default graphlab implementation to scikit-learn as the package is outdated and python 2 is about to go out of support
교육 기관: girish s•
Dec 19, 2015
Liked this course, really good assignments which help you to master the concepts thought in the lectures. Thanks a lot for making this available for us.
교육 기관: Tarun G•
Jul 22, 2017
One of the best courses on Regression. Covers topics in detail with all basics covered. Highly recommended for all analysts/data-scientists out there.