Asset Prediction Sagemaker Pipelines Example
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Updated
Apr 23, 2026 - TypeScript
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Asset Prediction Sagemaker Pipelines Example
aws aws-lambda amazon-dynamodb fsi timeseries-forecasting aws-sagemaker amazon-eventbridge aws-northstar deepar-algorithm sagemaker-pipelines deepar-stockpricespredictions asset-prediction
Amazon SageMaker DeepAR Spanish Workshop
Intermittent time series analysis
mxnet tensorflow lstm-neural-networks deepar-algorithm deep-renewal-processes caso-de-manufactura pytorchts stationary-test
This project demonstrates the use of advanced time series forecasting techniques to predict store sales for Favorita stores. It showcases the implementation of both Amazon SageMaker's DeepAR algorithm and a custom deep learning time series model, along with the setup of a CI/CD pipeline in AWS for model deployment and monitoring.
This repo automates training of a Deep-AR algorithm using a Sagemaker pipeline.
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