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!
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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
교육 기관: 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.
교육 기관: Bharath K M•
Very helpful in building good basics about regression and ML. Programming questions are very useful for practice and nicely prepared.
교육 기관: Harley J•
Very solid course for understanding machine learning principles, including developing methodical approaches to solving data problems.
교육 기관: Joanna T L•
Excellent, step-by-step introduction to regression. The instructor takes her time to make sure every step is explained with details.
교육 기관: Xavi R•
I loved this course. This is an excellent course for getting started in Machine Learning and I hope to complete the specialization.
교육 기관: 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.
교육 기관: Maria Z•
Much more difficult than the first course. It would be challenfing for those who don't have programming skills and math background.
교육 기관: Michele P•
Very nice explanation of ridge and lasso regression. Assignments are easier than in Classification. I highly recommend this course!
교육 기관: 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.
교육 기관: Pranas B•
Amazing course with good balance of visual material, practice, and optional math. Thanks Emily and Carlos, you are great teachers!
교육 기관: 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.
교육 기관: Surendar R•
In Depth coverage of lot of concepts, fully enjoyed it! Recommended to anyone wanting to explore in depth concepts of regression.
교육 기관: 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 ;-)
교육 기관: Wafic E•
An amazing course. You can sense the effort put into the presentations and assignment work. Loving the specialization thus far.
교육 기관: 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.
교육 기관: 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.
교육 기관: Rama K R N R G•
I really liked the progression of the topics and coverage. Good presentation with good amount of details/depth in each topic.
교육 기관: akashkr1498•
please take care while framing assignment and quize question it is very difficult to understand what exactly u want us to do
교육 기관: Ji H K•
This is a great course to understand the knowledge and concept of regression and also there are very useful practical quiz.
교육 기관: Evaldas B•
Very good and accurate course about regresion. Not just the basics but a lot of things you can use in real life chalenges.
교육 기관: Syed A u R•
Exceptional course!. Emily went into great details of the regression algorithms and its application. Thoroughly enjoyed it.