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An end-to-end MLOps pipeline for training, tracking, and deploying a movie recommendation system based on the MovieLens dataset.
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This is a classic portfolio or tutorial project using the ubiquitous MovieLens dataset. It implements standard MLOps patterns (FastAPI for serving, MLflow for tracking) that are well-documented in industry blogs and bootcamps. It has no stars, no forks, and offers no novel algorithmic or architectural contributions.
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