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2 changes: 2 additions & 0 deletions User-Engagement-Prediction/README.md
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# User Engagement Prediction

Production-style machine learning system that predicts user engagement probability from historical interaction data, designed as a reusable signal for ranking, personalization, and decision systems.
In simple word , it is an end-to-end machine learning pipeline designed to predict, analyze, and catalog user interaction levels. This system processes high-volume behavioral telemetry to forecast active session durations, retention risks, and overall feature adoption rates.

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└── README.md # documentation
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This project demonstrates a production-aligned approach to user engagement modeling, emphasizing reproducibility, leakage-safe evaluation, calibrated predictions, and explainability which are core requirements for real-world machine learning systems.