aws-samples/sagemaker-end-to-end-workshop
Hands-on end-to-end workshop to explore Amazon SageMaker.
This workshop helps businesses automate the identification of customers likely to churn. By using historical customer data, it trains a machine learning model to predict which current customers are at risk of leaving. The output is a prediction of customer churn, enabling proactive intervention. It is designed for data scientists and machine learning engineers looking to build and deploy customer churn prediction systems.
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Use this if you need an end-to-end guide to building, deploying, and monitoring a customer churn prediction model using AWS SageMaker.
Not ideal if you are looking for a pre-built, out-of-the-box solution that doesn't require hands-on machine learning development.
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Jupyter Notebook
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MIT-0
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Last pushed
Mar 05, 2023
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