Hands on course. Loved it. It goes a little bit fast, however, the content is ambitious.

a very good course for those wanting to learn Machine Learning to implement in Data Science.

It lucks theory, but that's why it's called practical. Very hands on teaching method. Was a little bit hard to follow.

Very informative and the project was fun to accomplish.

The professor has a very clear lecture, brief and persistent comparing to others. I just love this course .

tx

Excellent.

Very good explanation! Trying to do the examples help me understand more plus the explanation which is not on the slide helps a lot. Thank you

It's good that they teach you basics of machine learing in R (caret package), but it's very introductory course. I definetly recommend this course to beginner, but I also recommend taking more courses on this topic (Andrew Ng's for example).

elementary course and not too much work

So far, one of the most fulfilling courses in the Data Science specialization!

A fast-paced course that got me going in building models and understanding the pitfalls. I felt the directions for the final project were somewhat poorly worded and vague (and calling one of the files test when it was not to be used for testing the model was initially confusing), but overall it was good. I would have liked to have seen the final project uploaded as a secure file as has been done in other courses, and Github was a poor platform for viewing html files. Additionally, the question about out of sample error caused many people problems in the projects as they confused it with with Accuracy, yet it was weighted heavily in the rubric: I'd like the instructors to review the materials how that material is presented in terms of models. I got 100%, but as always you have to pay very close attention to the rubric.

As always with this specialization, you are really just given a taste and there is no way you can fully explore all the material and references presented., but it is enough to get you going and wanting to come back and explore the material more.

Great intro to machine learning. Covers the basics to allow you to being using ML concepts on your own.

It was a great overview of the fascinating word of ML.

Excellent introduction to machine learning. Great examples and detailed explanations, as usual

Excellent course

I liked everything abt it

excellent course and very beneficial

Very informational with good variety of code to take back and apply to projects.

Good introduction to machine learning. Provides pretty comprehensive coverage of major algorithms and approaches.

learning alot

Thank you for helpful learning.

Brian Caffo's courses are, as always brilliant.

Excellent course. Shows how simple it is to start running models with machine learning...! Well done

Really nice introduction to machine learning in R. You wouldn't want to pack more than this in 4 weeks. Would be interested to see if this course adopts the recipes / parsnip / tidymodels in the future.