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An end-to-end MLOps pipeline template designed for predicting tourism packages, integrating data ingestion, model training, tracking, and deployment.
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This is a standard portfolio or tutorial-style MLOps project. It uses commodity patterns (GitHub Actions for CI/CD, Docker for containerization, Streamlit for UI) applied to a specific dataset. With 0 stars and 0 forks, it lacks any market defensibility or novel technical IP.
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