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