This project demonstrates the process of deploying a simple classification model for inference using AWS Lambda triggered on a data upload to s3 and returns predictions to another S3 bucket.

Tracks datasets, models, and pipeline stages for reproducibility. Supports automatic re-execution if dependencies change (e.g., data, scripts, or parameters). Enables remote storage (DagsHub, S3) for ...

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