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!
교육 기관: Hemant V G
•Mar 14, 2016
Course has covered regression in sufficient details and gave practical aspect of it. Thanks to Emily for very good content and teaching
교육 기관: Med N
•Jan 11, 2016
One of the best courses I have taken!
Very good balance of depth and breadth of the material.
교육 기관: Peter G
•Feb 26, 2016
Excellent presentation of fundamental concepts and good overview of some specific methods.
교육 기관: Rodolfo S
•Jun 08, 2016
It's a really good course. I congratulate you.
교육 기관: LAVSEN D
•Jul 30, 2016
A very good introduction to Machine Learning: Regression, covering the wide range of topics and explanations in lucid way.
교육 기관: 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.
교육 기관: Mai T T
•Jun 26, 2016
Great content and very well instructions
교육 기관: FilippoV
•Sep 03, 2017
very good
교육 기관: David H
•May 31, 2016
Congrats to Carlos and Emily on producing a great course. As a humble software developer with no statistics background (and someone who hasn't used calculus since they left school nearly 30 years ago) I found this course to be very accessible, the concepts clearly explained, and the results of the course work have been rewarding. Thanks for kick-starting my little grey cells again.
교육 기관: Patrick M
•Feb 01, 2016
A great course that will take you way past what you may remember of linear regression from high school or college days. This course is part math, part algorithms and part application (in Python). I loved it. The instructors are good and the material is generally well presented (I took the course the first time through, so there seemed to be a few gaps / rough edges.)
This course may be intimidating if you don't like mathematical notation, or if you have never used Python before. It may also be challenging if your high school / college freshman calculus is rusty. The concepts aren't super hard (basic statistics, integration, differentiation, matrix math but with multi-variate twists), but you will need to think carefully through some lessons to appreciate them.
The online tests are good - and the instructions for each week's problems are detailed. There is enough guidance to clearly show what needs to be done, but enough gaps to bridge that you're made to think about the problem at hand.
교육 기관: zhengqian z
•Feb 02, 2017
Really good course, let me know a lot about the topic.
교육 기관: Chokdee S
•Apr 16, 2017
This is one of my favorite courses for ML, The best course for learning regression stuffs ever. I really love it.
교육 기관: 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!
교육 기관: Alfred G
•Jun 29, 2016
I strongly recommended you guys to walk through this course. It worth it! And the programming assignment is awesome. I also recommended that you can try to use sklearn + pandas + numpy to rebuild your code.
교육 기관: TONGHONG C
•Jun 14, 2017
Best ML course I've ever taken!
교육 기관: Daniel Z
•Mar 08, 2016
The most important aspects of regression are approached clear and precise
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: Daniel R
•Feb 07, 2016
The detail level of the regression covered in this course is absolutely necessary if you want to achieve an outstanding level in the Machine Learning area.
The teacher is awesome and the capacity of making it simple for everyone is really from another planet! The best course I have taken so far!
교육 기관: Pau D
•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!
교육 기관: Asif N
•Jul 05, 2017
I love the teaching style of Emily. Her pronunciation is very clear and her short series of videos develops my interest more and more. The first course of this specialization made my interest to complete the specialization. I love the case study methodology that clarified all my confusion remained after attending the class.
교육 기관: Alberto V
•Apr 08, 2017
A wonderful course about regression. Strongly recommended.
교육 기관: Dzmitry D
•Jan 06, 2016
Thank you! It was fantastic!
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: 李真
•Feb 20, 2016
Great
교육 기관: Guomao X
•Sep 20, 2016
the material is solid and using python is a good way to learn machine learning programming