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
교육 기관: 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.
교육 기관: 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
교육 기관: 戴维•
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.
교육 기관: 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.
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 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.