MLOps-Hotel-Revenue-Management
renswickd
It is an End-to-end MLOps pipeline for hotel reservation prediction leveraging GCP, LightGBM, MLFlow, Jenkins and Docker. This system automates data ingestion, preprocessing, feature selection, model training, and tracking, with a Flask-based frontend for real-time inference.
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3 data points · 2026-04-07 → 2026-04-22How do you feel about this project?
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Question copied to clipboardWhat is the renswickd/MLOps-Hotel-Revenue-Management GitHub project? Description: "It is an End-to-end MLOps pipeline for hotel reservation prediction leveraging GCP, LightGBM, MLFlow, Jenkins and Docker. This system automates data ingestion, preprocessing, feature selection, model training, and tracking, with a Flask-based frontend for real-time inference. ". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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