Automated Machine Learning with h2o

Automated Machine Learning with h2o, available at $54.99, with 9 lectures.

You will learn about 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 This course is ideal for individuals who are 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. It is particularly useful 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.

Enroll now: Automated Machine Learning with h2o

Summary

Title: Automated Machine Learning with h2o

Price: $54.99

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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.

Target Audiences

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.

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 command
Intelligent hyper parameter tuning using h2o grid searches
Increasing the computational speed of R by leveraging h2o
Integrating h2o with tidymodels via the agua package

The 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is h2o?

Lecture 2: Quick Overview of h2o Modeling process

Lecture 3: Manipulating Data

Lecture 4: Basic h2o Model

Lecture 5: Additional Models and Hyperparameters

Lecture 6: Hyperparameter Tuning and Grid Searches

Lecture 7: Automating Machine Learning With auto_ml Function

Lecture 8: Course Conclusion

Lecture 9: Additional Content – Tidymodels Integration With h2o

Instructors

Robert Lee Reed (MBA)
Cryptocurrency Blogger and Educator

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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