Practical Machine Learning on H2O

Very destructive format - switching between Python and R in the same video.

I spent the majority of my time in this course pausing videos and typing the code from the screen... On top of everything, there are no instructors nor mentors answering to questions in the discussion forum.

The man didn't put much effort into this course.

I took the first iteration of this course and I have seen maybe ten messages, most of them directed to the instructor and no answers whatsoever.

This course assumes some background knowledge in Stats, Linear Algebra, Calculus but the course work itself doesn't let you down.

But I also recommend that you study the book Practical Machine Learning with H2O by Darren Cook, which also contains additional information and examples of working with H2O.

I would like to see more deep dive courses on various powerful algos from H2O.

If you know any machine learning, you will cringe: they are just plain awful.

The number of people taking this course seem rather small.

I found it very useful in terms of showing different functions in the library, explaining the hyper parameters for fine tuning, and even some videos about data cleaning and data preparation via this tool.

When things get tricky to explain, he simply excuses himself from doing it and provides Wikipedia links... Also in an attempt to reach an audience as large as possible, the instructor didn't even commit to one programming language for the course...

I started off with Andrew Ng's classic Machine Learning course and was happy to check out other Coursera offerings, but this one was definitely a disappointment.