Jupyter book on unsupervised machine learning to detect patterns in illicit trade data
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Updated
Dec 22, 2022 - HTML
Jupyter book on unsupervised machine learning to detect patterns in illicit trade data
This project highlights my ability to: Build end-to-end ML solutions (from raw data → preprocessing → model → deployment) Implement custom algorithms (HUOMIL) for specialized tasks Work with realistic healthcare datasets Develop full-stack data-driven applications with Python, Django, and ML
Progetto dell'anno 2020-2021 per l'esame di Metodi Avanzati di Programmazione presso l'Università degli Studi di Bari Aldo Moro.
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