Practical Machine Learning on H2O
Offered By: H2O.ai via Coursera
Course Description
Overview
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.
Syllabus
- H2O AND THE FUNDAMENTALS
- Trees And Overfitting
- LINEAR MODELS AND MORE
- Deep Learning
- UNSUPERVISED LEARNING
- Everything Else!
Taught by
Darren Cook
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