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: Jerry S•
Apr 02, 2017
Really exciting course. The concepts are well explained and implementing algorithms by myself is really a inspiring experience. It is really a pity that the last 2 courses in the specialization were canceled. I am even willing to pay them for 100$ each!!!!
교육 기관: Christopher W•
Mar 28, 2016
Pretty challenging from a mathematical perspective, but extremely interesting and well-explained. I was glad to see there were plenty of opportunities to use Pandas and other Python libraries instead of just relying on Graphlab. Very happy with this class.
교육 기관: Aviad B•
Oct 10, 2017
Excellent course. Highly recommended. Emily Fox is clear and comprehensive. In addition, this module's exercises can be fully completed using Python's Pandas sklearn and numpy libraries and without requiring the propriety GraphLab library. Good work!
교육 기관: Dauren B•
Dec 23, 2017
Good insight into regression models. You will dive into the details of implementations of Lasso and Ridge regularization techniques. The course is actually easy to grasp for graduates with technical background, never the less gives good knowledge.
교육 기관: Adil A•
Mar 15, 2017
Very nice course... The instructors were really great, the explanations, the presentations, even the color schemes were all really great... Definitely one of the most fun courses I've taken at Coursera... The assignments were also well designed...
교육 기관: Filipe G•
Mar 12, 2016
The best Machine learning course I ever took. I compare it very favourably to Jeff Leek's course, or Andew Ng's course - which are both good in their own right.
A lot of effort went into making this a really good course. I very much recommend it.
교육 기관: Fernando M P•
Oct 08, 2017
An incredibly good approach to regression. It is the perfect continuation of the introduction course, it provides very good skills to solve regression problems. I´m eager to start with the third course of the specialization after this one!
교육 기관: Ruan P R T•
Apr 30, 2016
All concepts are explained really well! Knowing all the mathematics behind machine learning can never hurt, but when it comes down to actually implementing something useful it all boils down to the practicalities of the implementation.
교육 기관: MANOJ K•
Feb 08, 2016
Wow.... to complete this course, one really needs to work hard... one of the best teachers and the way they build concepts, so easy and systematic... thanks you so much for making me learn some of the challenging concepts with ease...
교육 기관: Sundar J D•
Feb 07, 2016
Great course and great instructor. Course covers regression models in great detail. The instructor's explanation of concepts and intuition behind why things are the way they are was really helpful to learn and appreciate the concepts.
교육 기관: Erik R•
May 23, 2017
A really nice course, explanations in the videos are absolutely clear. I do have to say, however, that I was hoping to go into kernel-based regression a bit further. But overall, a great course which i definitely recommend to others!
교육 기관: Brian B•
Jan 11, 2016
One of the top Coursera courses I've had the pleasure of taking!
The instructors do a great job of making the math understandable (although I am a graduate student in applied math, so the mathy parts of machine learning aren't new).
교육 기관: Nitin K M•
Sep 12, 2019
Highly recommend this course if anyone wants to truly understand the stats used behind regression. Professor Emily has taught this specialization in the best way possible. Thank you Cousera for providing such specialization online.
교육 기관: Ziyue Z•
Aug 10, 2016
Great course! Excellent overview of the goal of regression, and the difference between L1 and L2 regularization, as well as some generally applicable machine learning concepts/algorithms. Packed with material and very worthwhile.
교육 기관: Fakrudeen A A•
Aug 26, 2018
Excellent course and requires some hardwork during weekends but pays off very well. It teaches Liner Regression, regularization, loss fn and k-NN among others - all very important ML concepts.
Thank you to excellent teachers!
교육 기관: Tyler B•
Jan 01, 2016
Excellent course on Regression! From the basics up to some pretty complicated stuff, Emily Fox did a great job explaining the concepts and the programming assignments were challenging without being overwhelming. Well done!
교육 기관: SMRUTI R D•
Feb 15, 2016
A very detailed course on regression with real data examples and which exposes the student to actual coding of different functions, rather than using already available functions. I got a very satisfying learning experience.
교육 기관: Dharmesh s•
Feb 08, 2020
this course is excellent for me .it gives me a deeper understanding of algorithms and concepts. this course also gives me direction to my career . thanks coursera and university of washington for providing such platform .
교육 기관: xun y•
Feb 16, 2020
Very informative course. The best part is the visualization of ridge regression and lasso regression optimization. It would be great if the professor can add one final project to walk through the entire modeling process.
교육 기관: Manuel G•
Jan 01, 2019
Amazing course! Thoroughly enjoyed it, and really appreciated the level of detail in some of the theoretical concepts. Yet it also stayed within what's practically useful and had a good amount of hands-on implementation.
교육 기관: Bui T T (•
Jan 17, 2016
What a great course about machine learning I've been taken so far! One of the best thing (I like) for this course is that I have deep understanding and I am able to implement the machine learning algorithms by myself.
교육 기관: Aarshay J•
Mar 09, 2016
A very good starting to the journey to Machine Learning. Just one disappointment, I was expecting the classification and clustering courses to start together but the specialization has been delayed by a long time now.
교육 기관: Tobi L•
Jan 12, 2016
There was way more interesting mathematics to linear regression than I ever imagined. I thought this was going to be a boring review of linear algebra and quadratic polynomials. I have never been so happy to be wrong!
교육 기관: Rajesh P•
Dec 30, 2015
I really got a lot of the course. The material is explained very well. The programming assignments helped further the understanding. The recap video that summarizes the entire module in 10-15 min is also very good.
교육 기관: shoubhik b•
Jan 31, 2017
Very thorough. If you are beginner this course will give you the tools to do further study by yourself. I still go back to the lectures to refresh a few concept. Really sad that course 5 and 6 won't be released :(