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End-to-end MLOps project for predictive maintenance using engine sensor data. Includes data versioning on Hugging Face, MLflow experiment tracking, CI/CD with GitHub Actions, and Dockerized Streamlit deployment for real-time engine failure classification.
Taller XAI — Prediccion de fallas industriales con Regresion Logistica, Arbol de Decision y Random Forest. Aplicacion de 4 tecnicas de explicabilidad: SHAP, coeficientes, visualizacion de arbol y Permutation Importance. Incluye mitigacion de sesgo con SMOTE y reflexion etica. Dataset: AI4I 2020 (UCI).