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MLOps pipeline with Apache Airflow (GCP)

This repository is a personal project I made to deploy an MLOps pipeline on Cloud Composer (Apache Airflow):

  • The /dags folder contains the Airflow dag that trains a random-forest algorithm every 2 weeks, when train data is shared on Cloud Storage (via GoogleCloudStorageObjectSensor). The script then deploys the newly trained model on AI Platform.

  • The /function-source folder contains the source code to deploy the ML model over a Cloud Functions endpoint. The API is secured via an API key.

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