From the course: Machine Learning with SageMaker by Pearson
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Learning objectives - Amazon SageMaker Tutorial
From the course: Machine Learning with SageMaker by Pearson
Learning objectives
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Welcome to Lesson 2, where we dive into the critical steps of cleaning and preparing your data for machine learning. In this lesson, you will explore how to handle missing values, detect and address outliers, and apply essential feature scaling and encoding techniques. We'll also show you how to leverage powerful AWS tools like SageMaker Data Wrangler and Glue DataBrew to streamline these processes.