Well presented, practical, and hands-on. By far the best Data Science / Machine Learning series I have taken thus far on Coursera.

Great course which covers most of regression topics and important thigns such as lasso regression or ridge regression.

Excellent course

Excellent course on the use of regression in machine learning. It does not simply stop with simple linear regression but also tackles ridge and lasso regression using Python notebooks. One big advantage for those not familiar with Python is that the Python notebooks have just enough boiler plate code to make it feasible for Python beginners but not so much that the challenge is gone. The lectures can feel rather technical at times but this, at least in my mind, enhances the course and at no point did I feel I was "drowning" in formulas.

Good pace, thorough presentation, challenging but reasonable programming exercises.

Really can use in solving industry problem

Amazing course with good balance of visual material, practice, and optional math. Thanks Emily and Carlos, you are great teachers!

I like this course a lot. Frankly speaking, this is my first completed course on Coursera. The instructor is so good that I could easily follow everything in the class. Give lots of credits to the assignments. They're very easy to follow for me. I really enjoy working on them. Thanks a lot!!!

Amazing course!

Great course

All concepts are explained really well! Knowing all the mathematics behind machine learning can never hurt, but when it comes down to actually implementing something useful it all boils down to the practicalities of the implementation.

A very good course. Glad all the assignments are also compatible with pandas and scikit-learn

Nice intro to regression! Shorter lectures and more programming challenges would have made it even better.

Great course covering Regression Machine Learning. Gives a great introduction to this topic. Teaching the methods using a case study yields for great illustrations of the concepts.

This is a great class! Highly recommended. Emily and Carlos are a great team. The videos are polished, the progression through the material is well organized and everything just fits together very well in this specialization. The assignments are challenging enough to be worth the effort. Great specialization... I look forward to completing every class.

I enjoyed the math and the Python exercises, which were interesting and challenging. The functions and algorithms used in the notebooks would be a good starting point for a set of Python regression classes.

Excellent course! Learn a lot. Thanks!

Its the best course up till now i have studied on regression

I'll definitely keep learning the next course.

Some people criticized about graphlab (I thought they should offer 2 versions like RStudio instead a limit-free one. Although I feel comfortable when using graphlab, I'll still use scikit-learn after finishing all courses because it is free and I just use for personally.) but you can use scikit-learn to pass this course (although you have to spend more time) , so this is not a sufficient reason to not giving 5 stars for me.

Great course.

A well thought out and nicely paced introduction to Regression following on from the equally good foundation course. I particularly like the way that the assignments assume an improving knowledge and familiarity with Python as the course progresses. It will be interesting to see if the subsequent courses in the specialisation continue in this vein - I hope so. I note the concerns that some have expressed about the use of graphlab.create for examples and assignments, but tend to think there is benefit from gaining familiarity with a number of different data science ML tools and libraries. Also additional code and instructions are available for those determined to use other tools such as Pandas and Scikit Learn.

Pretty challenging from a mathematical perspective, but extremely interesting and well-explained. I was glad to see there were plenty of opportunities to use Pandas and other Python libraries instead of just relying on Graphlab. Very happy with this class.

Best Regression MOCC available online! Also consider the whole Machine Learning specialization, one of the best series you can find on this subject

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Superb!!

Thank you for all the effort you put in the exercises and the data. It was a great course! Perhaps you could put references for further study of the topics?