studio-lab-examples and sagemaker-end-to-end-workshop
About studio-lab-examples
aws/studio-lab-examples
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
This project offers a collection of example Jupyter notebooks designed to help aspiring AI/ML practitioners learn and experiment with machine learning tasks using Amazon SageMaker Studio Lab. It provides practical demonstrations for setting up your environment and building AI/ML models in areas like computer vision, natural language processing, and generative AI. The notebooks show you how to start with raw data or pre-trained models and develop solutions for real-world problems.
About sagemaker-end-to-end-workshop
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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