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Automated Machine Learning with h2o - OneDDL - 08-08-2024
![[Image: 4ea0e4dda51e236f3e22135f50ad0a56.jpeg]](https://i123.fastpic.org/big/2024/0808/56/4ea0e4dda51e236f3e22135f50ad0a56.jpeg)
Free Download Automated Machine Learning with h2o
Published 7/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 9m | Size: 1.04 GB
Automate your machine learning process with the powerful h2o pacakge for the R programming language.
What you'll learn
Automate your machine learning pipeline with h2o's auto_ml function
Decrease model training time by over 80% compared to standard R
Optimize machine learning hyper parameters with intelligent grid searches
Apply cutting-edge machine learning tools to data analysis problems
Requirements
This is NOT a beginner course. You should have previous experience with the R programming language, the funamentals of machine learning, and the tidymodels framework prior to taking this course.
Description
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.
Who this course is for
This course is for R programming users who want to increase the speed and effectiveness of their machine learning algorithms. This is NOT a beginner course, but if you are already know the basics of the R programing language and want to turbocharge your machine learning skills, it could be the course for you.
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