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BI2025 Experiment Report Human Activity Recognition Using Smartphones

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A comprehensive machine learning project implementing the CRISP-DM methodology to classify human activities from smartphone accelerometer and gyroscope data. This project demonstrates a complete data science workflow with full reproducibility through provenance logging and knowledge graph documentation.

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January 13, 2026

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