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Practical Machine Learning on H2O

H2O via Coursera


In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under.


  • Trees And Overfitting
  • Deep Learning
  • Everything Else!

Taught by

Darren Cook


3.0 rating, based on 2 Class Central reviews

4.5 rating at Coursera based on 71 ratings

Start your review of Practical Machine Learning on H2O

  • Richar Roma

    Richar Roma completed this 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. This course starts off with the prerequisite of having to know either R or python, and...
  • Gunja Namdev

    Gunja Namdev completed this course, spending 1 hours a week on it and found the course difficulty to be medium.

    Very good course is very important course my house is very worinng day but free course is fantastic day i am lucky free course is available

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