MetroPT-3 Anomaly Detection using Machine Learning and Deep Learning
-
Updated
May 15, 2024 - Jupyter Notebook
8000
MetroPT-3 Anomaly Detection using Machine Learning and Deep Learning
Proactive failure prediction for train air production units using XGBoost and SHAP. Leverages MetroPT-3 dataset to enhance safety and maintenance with interpretable ML models.
AI models applied to temporal series. Subject from UPM´s master degree in Machine Learning and Big Data
Add a description, image, and links to the metropt-3 topic page so that developers can more easily learn about it.
To associate your repository with the metropt-3 topic, visit your repo's landing page and select "manage topics."