sagemaker-python-sdk and sagemaker-end-to-end-workshop
About sagemaker-python-sdk
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
This is a Python library that helps machine learning engineers and data scientists train and deploy models on Amazon SageMaker. It simplifies the process of getting your data (from S3) into a training environment and then taking the trained model to make predictions. You can use popular frameworks like PyTorch or MXNet, or bring your own custom algorithms.
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work