GitHub / aleksander-piprek / Supervised-machine-learning-methods-for-condition-monitoring-and-fault-detection-of-wind-turbines
Engineering Thesis written to predict fault detection in wind turbines using Python
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PURL: pkg:github/aleksander-piprek/Supervised-machine-learning-methods-for-condition-monitoring-and-fault-detection-of-wind-turbines
Stars: 1
Forks: 0
Open issues: 1
License: None
Language: Python
Size: 11.7 KB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: data-science, gaussian-process-regression, knn-regression, machine-learning, neural-network, numpy, pandas, python, scikit-learn, supervised-machine-learning, support-vector-machine