Expanded Library

Getting Started with MLBox

by Trent McMillan

This course will teach you how to use MLBox for quickly building high quality automated machine learning models.

What you'll learn

Building high-performing machine learning models typically requires a lot of time, effort, and specialized knowledge. In this course, Getting Started with MLBox, you’ll learn to build dominant machine learning models in a fraction of the time by using an automated machine learning library. First, you’ll explore MLBox’s automated preprocessing and feature selection components. Next, you’ll discover automated algorithm selection for classification and regression problems. Finally, you’ll learn how to optimize your model with automatic hyper-parameter tuning and learn how to interpret the results. When you’re finished with this course, you’ll have the skills and knowledge needed to quickly create high performing ML models with MLBox.

About the author

Trent has a master's degree in Information Systems from Brigham Young University and a love for all things data. When he isn't on his computer he enjoys dirt bikes, DIY projects, and spending time with family and friends.

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