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!
por Ahmed E•
The lecturer is a very skilled presenter that it's difficult to get bored watching the videos. The partially completed code is a great idea, too. Enjoyed this course!
por Pieterjan C•
In my opnion this course offers a good overview of regression fundamentals and techniques. Like mentioned in the course inference is a topic that is missing.
por Anmol g•
Nice Course, every concept was explained in necessary details, the quizzes should include questions which should be inferential rather than only output based.
por SAMEER A P•
A lot of new concepts were introduced with good clarity. All the math was less rigorous which was perfect to understand and get hold on important techniques.
por Suneet T•
Excellent course to take a deep dive into Regression concepts. Could have been better if the hands on part would have been in R - Programming as well.
por Thakur S S•
Amazing course, with focus on both theory and application part.
Only problem was the use of GraphLab, would have been lot better if pandas was used
por ANGELICA D C•
Fue un buen curso, pero noté que a veces cambiaban las fórmulas y no explicaban el porqué. Eso me causó mucha confusión y algo de tiempo perdido.
por Nguyễn T T•
like it so far, after one week
i like the way they let us code the procedures ourselves.
expect it to level up in the upcoming weeks and classes
por James Q•
Excellent materials. I don't agree with some of the programming principals, but the ML stuff is spot on and I'm using these lessons daily.
por Ayush S•
Excellent series of courses. Before this was confused what was my interest in Computer Science, now I've found Machine Learning, perfect.
por Kirill D•
I think you should make update process of Graphlab more intuitive, this was the only problem I have faced during this wonderful course!
por Diego N•
Better deep understanding of common machine learning concepts. Still learn some different things than those exposed on andrew ng course
por Amirhossein S•
Well, I think Carlos teaches way more enthusiastically and energetically than Emily! But I did enjoy my course on this specialization.
por Baubak G•
I think the forum activity is a bit low, and I think in some cases the things are overly describes whereas in others it goes too fast.
por Sameer C•
Overall, the course was really good. But, it would be great if the concept of co-ordinate descent was explained much more clearly.
por RAUL E G•
Great course - but the exercise and exams are challenging - which is good if you have the programming experience. One really
por Krishna C•
Its a great course.Please add a module about how to find the significant variables after using all these technologies.
por shashank a•
Good but needs to updated according to python3, for eq:- print function need brackets in python3 but not python2
por Oleg S•
...have to be a real statistician and pythonist...
...need time to absorb new skills...
por Moises V•
This course is well structured. It covered a good parts of details I was missing on my machine learning path.
por Ayswarya S•
Well taught !!Could have been better if practical teaching was more !!I mean teaching via coding was more:)
por Varun R•
Quite a hard course...
But laid great foundations and reduced the dependence on graphlab.
Good course! Teachers are perfect and knowledge is overall, but the exercise need some improvement.
Great course. Can only be better if we were taught in the industry standard libraries (fe. SciPy)
por Farrukh N A•
Overall its a good course on Regression, although its more driven toward mathematics and statics.