szxivk/Jet-Engine-Health-Monitoring
Predictive maintenance system classifying NASA turbofan engine health into actionable risk categories (Good/Moderate/Warning) using CatBoost and sensor data.
Stars
—
Forks
—
Language
Jupyter Notebook
License
Apache-2.0
Last pushed
Apr 10, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/szxivk/Jet-Engine-Health-Monitoring"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
probabl-ai/skore
Track your Data Science. Skore's open-source Python library accelerates ML model development...
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
WMD-group/SMACT
Python package to aid materials design and informatics
pallets/click
Python composable command line interface toolkit