Practical Machine Learning on H2O
Learn the core techniques to effectively use H2O for machine learning. No prior experience or strong math skills required. Build models using linear models, random forest, GBMs, deep learning, and unsupervised learning algorithms. Evaluate and choose the best model for your data and business constraints.
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.
What you will learn
H2O AND THE FUNDAMENTALS
Trees And Overfitting
LINEAR MODELS AND MORE
Deep Learning
