Overview

What if I told you there was a data analysis tool that could automate your machine learning pipeline? What if I told you that all you had to do was give this tool some data, and it would automatically select the best machine learning algorithm, tune the hyper parameters for you, and decrease your processing time by over 80%! It sounds too good to be true, but the h2o package for the R programing language does exactly that. Hello and welcome. In this course, I will show you how to use the powerful h2o machine learning package for the R programming language. The h2o package is a free-to-use software product that can greatly increase the speed of your calculations while also giving you access to machine learning tools that simply aren't available in traditional R. At the same time, h2o is fully compatible with R which means you don't need to learn a new programing language to take advantage of these powerful features. Some of the topics in this course include:Automated machine learning using the auto_ml commandIntelligent hyper parameter tuning using h2o grid searchesIncreasing the computational speed of R by leveraging h2oIntegrating h2o with tidymodels via the agua packageThe R programming language is a fantastic tool for data analysts. It is loaded with powerful algorithms and functions for modeling and processing your data, but if you are looking to take your data analysis skills to the next level, then learning h2o could be a great next step. This is NOT a beginner course, and you need to have an understanding of the R programming language as well as the fundamentals of machine learning.

Skills

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