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Practical Machine Learning with H2O

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Practical Machine Learning on H2O
Practical Machine Learning with H2O Online Course Highlights

  • 6 weeks long
  • 5 hours per week
  • Learn for FREE, Upgradable
  • Self-Paced
  • Taught by: Darren Cook
  • View Course Syllabus

Practical Machine Learning with H2O Course Details:

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 – What you will Learn from this Course:

WEEK 1

H2O AND THE FUNDAMENTALS

WEEK 2

Trees And Overfitting

WEEK 3

LINEAR MODELS AND MOR

WEEK 4

Deep Learning

WEEK 5

UNSUPERVISED LEARNING

WEEK 6

Everything Else!

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