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  1. GCP_ML GCP_ML Public

    Utilizing Google Cloud Platform (GCP) to create an end-to-end workflow from data engineering to machine learning engineering.

    Jupyter Notebook

  2. Airflow_DW Airflow_DW Public

    An ETL pipeline using Airflow on Google Cloud Platform to create a Data Warehouse/Lake, as part of the GCP_ML

    Python

  3. Azure_ML Azure_ML Public

    Utilizing Microsoft Azure to streamline and optimize machine learning operations

    Python

  4. OSS_MLflow OSS_MLflow Public

    Utilizing MLFlow to manage the various stages of the machine learning lifecycle

    Jupyter Notebook

  5. GCC_Demo_Portal_Backend GCC_Demo_Portal_Backend Public

    JavaScript

  6. AWS_Kafka AWS_Kafka Public

    Jupyter Notebook