This course will walk you through the major stages of a typical ML pipeline, including problem framing, data cleaning, data visualization and analysis, functional engineering, and model training and evaluation.
This course will walk you through the major stages of a typical ML pipeline, including problem framing, data cleaning, data visualization and analysis, functional engineering, and model training and evaluation. As a use case, we'll cover the key concepts and processes that have been implemented throughout Amazon's pipeline. Throughout the session, we will introduce different types of ML problems and the different categories of ML algorithms available. This training will familiarize you with the concept of phases in the ML pipeline and familiarize you with the key terms and definitions involved.
This course will walk you through the major stages of a typical ML pipeline, including problem framing, data cleaning, data visualization and analysis, functional engineering, and model training and evaluation. As a use case, we'll cover the key concepts and processes that have been implemented throughout Amazon's pipeline. Throughout the session, we will introduce different types of ML problems and the different categories of ML algorithms available. This training will familiarize you with the concept of phases in the ML pipeline and familiarize you with the key terms and definitions involved.
