Practical Data Science with Amazon SageMaker

In this course, you’ll learn how to solve a real-world use case with machine learning (ML) and produce real-world results using Amazon SageMaker. The course walks through the steps of a typical machine learning data science process, from analyzing and visualizing a dataset to data preparation and feature engineering. Participants will also learn the practicalities of building, training, tuning, and deploying models with Amazon SageMaker. A real use case includes customer retention analytics to inform loyalty programs.

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