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!
Jan 27, 2016
I really like the top-down approach of this specialization. The iPython code assignments are very well structured. They are presented in a step-by-step manner while still being challenging and fun!
by Steve B•
Mar 05, 2017
This is one of the hardest courses I've ever taken. The theory part reminded me of Differential Equations, which got rid of about half of my electrical engineering class. Then they ask you to program it in Python!! There's a lot of great theory and deep explanations and hands-on coding.
by Dohyoung C•
May 11, 2019
Thank you for a good lecture.
The material was excellent and explanation was quite detailed and easy to understand.
Some of the programming was a little bit tricky, but I was able to pull through.
Thank you again for your efforts and I am looking forward to seeing you in the next course
by Daniel V•
Jun 10, 2016
I do not this regression :D
Honestly, I can not thank Carlos and Emily enough given such a solid and casual understanding.
I am looking forward to every new Session and ofcourse the Capstone. But still a long way there, which is good news, more time with Carlos and Emily... yeah!
by Andre J•
Mar 18, 2016
These Machine Learning classes have been fantastic so far, really enjoying them. Very good coverage of topics and challenging exercises to drive home the learning. The effort put into developing the classes has been superb and I look forward to the rest of the specialization.
by Richard N B A•
Feb 02, 2016
Great course! Not simply a machine learning black box tutorial - like a few courses out there - but delves into the mathematics behind the algorithms (with several optional, more advanced excursions provided) and requires that we actually implement a few of the ideas ourselves.
by Freddie S•
Jul 25, 2016
Excellent combination of conceptual and practical quizzes. Providing the presentation slides is a great note-taking aid, as well as use of "ride-along" notebooks. The progressive use of the same dataset throughout the modules greatly aided focus on learning the algorithms.
by Nihal T•
Sep 25, 2017
Great course to get started in the Machine learning , it covers each and every concept of Regression . All the concepts are explained in so simple way that even a high school kid wont have any trouble understanding Machine learning . I would highly recommend taking this.
by Rohit G•
Dec 29, 2015
Absolutely loved the way Emily tackled the course content - the knowledge I gained regarding LASSO & RIdge was something even I wasn't expecting. Also the optional video helped a lot to understand the mathematics better as compared to a mechanical write-down of the steps
by Suresh A•
Apr 19, 2016
Lot of courses I have taken do not give the mathematical formulation. This course provides a detailed understanding of the math behind ML.
Also in the programming exercises one implements the algorithms from scratch and also use the existing libraries.
by Mohamed A•
May 01, 2016
Great course! all materials are well structured and introduce each concept concisely. I enjoyed all programming assignments. Take this course if you would like to know more about regression rather than simply finding the perfect hyper-plane that approximate your data.
by Victor C•
May 28, 2017
Emily Fox is exceptional. It's a smooth airplane ride through often turbulent paths. That's harder to do than it might seem as most teachers get mired in details that confuse and/or distract the student. I would think that any course she teaches is worth taking.
by Abhinav U•
Jan 11, 2016
Great course, very detailed and hands on, also including appropriate amount of mathematical rigour to help you understand what is going on under the hood. Highly recommended. I specially liked the modules on Ridge regression and Lasso regression, really well done.
by Dan L•
Dec 28, 2015
I found this an excellent introduction to the topic with a good mix of well-presented material and practical application using the IPython notebooks. I would love to have the course finish with a project where we apply the learned methods to a different data set.
Dec 04, 2015
Very responsible teachers and practical classes content.You can not only learning the ML theory from scratch,but also learn to implement the algorithm using python by yourself.This is the best ML course I ever seen.
Thanks for the teachers' hard-work.You are great!
by Muhammad U C•
Feb 12, 2016
Excellent. This is an ideal course in order to understand various aspects of regression techniques. Explanation using hands-on exercises helps me learn this course very effectively. I must appreciate the efforts of both Instructors (Prof. Emily & Prof. Carlos).
by Amal G•
Sep 10, 2016
I felt that the course was detailed and contained significant in-depth study about regression techniques. The assignments were well designed, starting from a single step and eventually enabling the candidate to be able to write the complete methods on his own.
by Lech G•
Jan 06, 2016
This is probably the best Coursera course I have completed so far (and I am kind of Coursera junkie). very well structured, the right amount of math and driven by the experiments on the real data.
Looking forward to Classification course and others in series.
by Fan D•
Jan 03, 2017
The regression is done very well. I love the tutorials especially, they are very clear with good test feedbacks on some of the latter week contents. If you want to get into machine learning, this is a very important part to help you with all the other parts.
by Igor P•
Feb 26, 2016
I liked pretty much all of the content.
The lectures are detailed.
The assignments helped me understand the techniques used in regression. The step by step approach is great.
What I dislike a bit is the promotion of proprietary and expensive Graphlab software.
by Cal D•
Dec 19, 2015
A few minor glitches with the homework assignments so far. Hopefully this is only because it is the first time the class is being offered.
I love the instructors. Great enthusiasm and both clearly love what they do. Inspiring for data scientists in training.
by Simng D•
Jul 09, 2018
This is a great course! The course is easily understand, the lecturers are very nicely talking in the videos to show you the knowledge of regression. The assignments are designed in a way helping you learn, practice and implement the regression algorithms.
by 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!!!!
by 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.
by 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!
by 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.