Thomas-George-T/Ecommerce-Data-MLOps
End-to-End deployment of E-commerce customers segmentation using Clustering Machine learning algorithms in Google Cloud Platform and MLOps Tools
Implements a modular data pipeline orchestrated through Apache Airflow with automated CI/CD via GitHub Actions (pytest/pylint), combining K-means clustering with RFM analysis for customer profiling. Leverages DVC for data versioning alongside MLflow experiment tracking, containerized via Docker for reproducible deployment across GCP, while Flask serves model predictions through a REST API.
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Language
Python
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Last pushed
Jun 05, 2024
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