ReneWind
Designed neural-network classifiers for wind-turbine generator failure prediction with class-imbalance handling and recall-focused evaluation for proactive maintenance.
Why this project matters
Designed neural-network classifiers for wind-turbine generator failure prediction with class-imbalance handling and recall-focused evaluation for proactive maintenance.
What the work covered
From question to evidence
Portfolio evidence areas
These bars summarize the emphasis of the completed work; detailed numeric outputs and full notebook cells remain available in the linked repository and HTML report.
Selected analysis and report visuals
These original project diagrams illustrate the technical work. Review the linked repositories for complete notebooks and supporting materials.
What the analysis demonstrated
Repository at a glance
renewind-inn-failure-prediction
Neural-network failure prediction for renewable-energy equipment with class-imbalance and recall-focused analysis.
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