Practical Machine Learning on H2O
About this course
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.
60/100
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- 20/35
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What you'll learn
- create machine learning models using different algorithms
- evaluate and choose the best model for specific data
- understand core techniques of H2O
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