Practical Machine Learning on H2O

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Course Overview

What You'll Learn

  • 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.

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.

Course FAQs

Is this an accredited online course?

Accreditation for 'Practical Machine Learning on H2O' is determined by the provider, H2O.ai. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.

Can this course be used for continuing education credits?

Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.

How do I enroll in this online school program?

To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Practical Machine Learning on H2O' on the H2O.ai online class platform, where you can complete your registration.