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: Sekhar K•
Apr 02, 2017
This course is phenomenal! I am learning a great deal. Dr. Emily Cox is fantastic with her slides, explanation and the way she (and Dr. Carlos Guestrin) structured the course. Loving it!
교육 기관: Ling Z•
Apr 09, 2019
I took this class long time ago and just revisited it today. Compared to other online class, this class has a lot details. I am satisfied with both the clarity and depth of the content.
교육 기관: Fabio P•
Apr 03, 2016
I really like the learning approach in this course: at first you learn how to use the algorithm and after that you learn how to implement it yourself. That way it's never disappointing.
교육 기관: George P•
May 16, 2017
Straight to the point and with useful material to check back whenever you feel is necessary. Learning but also good annotated notes in order to revise things later are very important.
교육 기관: Zachary C•
Apr 30, 2017
the professor does an excellent job explain the subject thoroughly, including good in depth descriptions of matrix algebra and how it applies to things like multi-variable regression.
교육 기관: Alexander T•
Dec 30, 2015
A very comprehensive course that covers not only regression, but all base Machine Learning concept. Thanks to Emily, she explains rather complicated topics in a clear and concise way.
교육 기관: Ben K•
Feb 23, 2016
Lasso, l2 regularization, ridge regression, etc. - appropriate level of technical detail, first principles discussion, etc. means that a lot of good info was packed into this course.
교육 기관: Vibhutesh K S•
May 20, 2019
This is indeed a good course. Covering even much more than I had previously expected. The instructions were quite clear to me and the programming assignments were quite interesting.
교육 기관: Nitish V•
Sep 25, 2017
The course is really good for people planning to step into machine learning field. Not so deep , but covers all the relevant topics. Thanks to instructor for making it look so easy.
교육 기관: Alfredo A M S•
Jun 27, 2016
Started a little slow, and it may seem repetitive if you see all videos from one week in one day, otherwise I feel it has a good pace.The content was interesting and well explained.
교육 기관: Borna J•
Jun 19, 2016
I love everything about this course. the course material is easy to follow. I also like the coding exercises. I highly recommend the specialisation so far (this is my second course)
교육 기관: Charlotte B•
Jul 24, 2019
I definitely learned a lot in this class about different techniques and ways to use regression in machine learning. I also feel like I learned a lot about how to program in Python.
교육 기관: Liang-Yao W•
Jun 26, 2017
I like the step-by-step introduction that familiarize one with the important concepts. I also like the nice explanation and visualization of some relevant mathematics. Recommended.
교육 기관: Oshan M•
Jun 23, 2017
thorough explanation. they cover most of the topics. lessons on ridge and lasso regression are great. would recommend for anyone looking to get into data science/ machine learning.
교육 기관: Holger P•
Sep 30, 2016
Great course covering Regression Machine Learning. Gives a great introduction to this topic. Teaching the methods using a case study yields for great illustrations of the concepts.
교육 기관: Andrea C•
Aug 16, 2016
This course is damn well structured. Course material is great and programming assignments are interesting and helps you to really understand how to implement regression algorithms.
교육 기관: George K•
Mar 09, 2016
The professors help understand the concepts from ground up. Seriously recommended course if you want to know how Regression works and all about ridge, lasso and kernel regression.
교육 기관: Yabin W•
Aug 04, 2019
The course goes into great details to clarify difficult concepts. Besides, the assignments are well designed so that students can grasp the topic step by step through practicing.
교육 기관: Lennart B•
Feb 07, 2016
Thorough introduction to regression, the assignments are demanding, and the teachers very engaging. It would be nice if a wider range of applications and examples were presented.
교육 기관: Joseph F•
Mar 19, 2018
Very good course with nice slides and clear interpret, and the assignment with ipython is really well designed because it already give you the illustration of each step. Thanks!
교육 기관: Ed S•
Mar 02, 2018
You will get a good grasp of Linear Regression, Ridge Regression, Lasso and potential use for feature selection, gradient descent, coordinate descent, numpy and graphlab create
교육 기관: Salim L•
Aug 27, 2017
Goes well beyond the statistics that I learned in engineering! Key concepts in regression such Ridge, Lasso and KNN. Use Python to build all your algorithms from the ground up.
교육 기관: Omar N T•
Mar 30, 2016
it gave more details than my class room. it also adopts a practical approach to learn. it is a great course in regression especially for practitioners.
Thanks Carlos and Emily :)
교육 기관: Dipankar N•
Dec 11, 2017
Great course on Regression. This will help build basic for upcoming modules. Emily teaches the concepts in a simple way. I liked the structure and coverage of Regression topic.
교육 기관: Nadya O•
May 06, 2017
Great material, this was tougher than the previous course. It is challenging and more exercises to practice which help to a better understanding of the concepts. Great mentors!