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You're reading from  Automated Machine Learning

Product typeBook
Published inFeb 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800567689
Edition1st Edition
Languages
Python
Tools
Azure Functions
Concepts
Machine Learning
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Author (1)
Adnan Masood
Adnan Masood
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Adnan Masood

Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.
Read more about Adnan Masood

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Building and running SageMaker Autopilot experiments from the notebook

Customer churn is a real problem for businesses and in this example, we will use our knowledge of completing AutoML in Amazon SageMaker Autopilot to build a customer churn prediction experiment using the notebook. In this experiment, we will use a publicly available dataset of US mobile customers provided by Daniel T. Larose in his book Discovering Knowledge in Data. To demonstrate running the full gamut, the sample notebook executes the Autopilot experiment by performing feature engineering, building a model pipeline (along with any optimal hyperparameters), and deploying the model.

The evolution of the UI/API/CLI paradigm has helped us utilize the same interface in multiple formats; in this case, we will be utilizing the capabilities of Amazon SageMaker Autopilot directly from the notebook. Let's get started:

  1. Open the autopilot_customer_churn notebook from the amazon-sagemaker-examples/autopilot...
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Automated Machine Learning
Published in: Feb 2021Publisher: PacktISBN-13: 9781800567689
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Adnan Masood

Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.
Read more about Adnan Masood

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