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!
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
創建者 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!
創建者 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.
創建者 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
It is an excellent course, which can not only equip you with tools but also allow you to know the underlying reason. And it is interesting.
創建者 Leandro L R•
This course is very good. It went above my expectations. The instructors are great and I learned a lot of Python here. I really recommend.
創建者 Nicolas P L•
Great Course, it focused both in the theory and practical approaches in a challenging way such that you could learn better the concepts.
創建者 Yashaswi P•
The only hindrance I had is with understanding the problem statements in assignments. It would be better to use a more unambiguous text.
創建者 Md F A•
This is probably most in-depth Regression learning with python code, I have ever had. I liked the detail adventures of quizz questions.
創建者 Hemant V G•
Course has covered regression in sufficient details and gave practical aspect of it. Thanks to Emily for very good content and teaching
創建者 Sathiraju E•
It was great to take this course. Thanks to Carlos and Emily for their efforts. It's been a useful course and certainly worth my time.
創建者 Bharath K M•
Very helpful in building good basics about regression and ML. Programming questions are very useful for practice and nicely prepared.
創建者 Harley J•
Very solid course for understanding machine learning principles, including developing methodical approaches to solving data problems.
創建者 Joanna L•
Excellent, step-by-step introduction to regression. The instructor takes her time to make sure every step is explained with details.
創建者 Xavi R•
I loved this course. This is an excellent course for getting started in Machine Learning and I hope to complete the specialization.
創建者 Aayush A•
This course is very good.I learnt a lot from it about regression.very recommended for all trying to get expert in machine learning.
創建者 Maria Z•
Much more difficult than the first course. It would be challenfing for those who don't have programming skills and math background.
創建者 Michele P•
Very nice explanation of ridge and lasso regression. Assignments are easier than in Classification. I highly recommend this course!
創建者 Ali A•
All what I can say is if there is ten stars I would have given them to this course. It is just amazing and very very very helpful.
創建者 Pranas B•
Amazing course with good balance of visual material, practice, and optional math. Thanks Emily and Carlos, you are great teachers!
創建者 Jacob M L•
Well presented, practical, and hands-on. By far the best Data Science / Machine Learning series I have taken thus far on Coursera.
創建者 Surendar R•
In Depth coverage of lot of concepts, fully enjoyed it! Recommended to anyone wanting to explore in depth concepts of regression.
創建者 Abe E•
Excellent. I used some of the videos to prepare and brush up for job interviews. Super helpful to play back at double speed ;-)
創建者 Wafic E•
An amazing course. You can sense the effort put into the presentations and assignment work. Loving the specialization thus far.
創建者 Sergio D H•
One of the best MOOCs I've ever tried. Great course materials and incredibly talented instructors. I can't recommend it enough.
創建者 Luciano S•
I learned a lot of new concepts in this course. It is important to dive deeper than just understing how to use a set of tools.