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!
автор: Kapil K•
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
автор: Saheed S•
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.
автор: Santosh G•
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.
автор: Hritik K S•
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!
автор: Ian F•
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.
автор: Kris D•
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.
автор: Hongbing K•
Very clear and thorough explanation on regression and implementation details. The closed-form calculation and comparison against gradient descent is excellent.
автор: Emil K•
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!
автор: Bruno V R S•
Excelent Course. It not only teaches the ideia behind the topics but it also provides an in-depth view of the algorithms and its parts. Totally recomend it.
автор: Salomon D•
Great background through applications of linear regression and explanations that are step by step that allow the understanding and construction of learning.
автор: Marcus V M d S•
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?
автор: Melwin J•
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.
автор: Mantraraj D•
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
автор: girish s•
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.
автор: Tarun G•
One of the best courses on Regression. Covers topics in detail with all basics covered. Highly recommended for all analysts/data-scientists out there.
автор: Dennis M•
This is a great course, pretty obvious that Emily 1) knows her stuff and 2) put a lot of work into this class to provide an a nice look at regression.
автор: Santosh K D•
Professor Emily Fox should do a follow up for this course. It was so simple and intuitive to understand. I want to work as a PhD student under her.
автор: Zhao Y•
The concepts, though hard, are well explained in a clear and organized manner.
The assignments are very practical and helper.
автор: Bernardo N•
Best Regression MOCC available online! Also consider the whole Machine Learning specialization, one of the best series you can find on this subject
автор: Mark W•
Excellent course. Emily and Carlos are fantastic teachers and have clearly put in a huge amount of effort in makign a great course. Thanks guys!
автор: Saransh A•
This is probably the best course on Regression for ML out there
And this specialisation is probably the best! for Basic Machine Learning... KUDOS!
автор: Bhavesh G•
I learned lot many things during this course like simple regression, calculate RSS, gradient descent, feature selection and k-nearest neighbour.
автор: Anirudh N•
Very well organized course. After taking this course I am able to work on practical problems that can be solved using regression. Thanks Emily!
автор: vishnu v•
Great course on regression. Covers almost all aspects on how to build a regression model from scratch, also covers few advanced topics aswell.
автор: Jane T•
Difficult material, but the style of the lectures and assignments managed to keep it fun and interesting, all the way to the end. Amazing job