GitHub - Niikkhii/Predictive_maintaince: This project focuses on predictive maintenance for drones using machine learning and multi-sensor data analysis to predict component failures and estimate Remaining Useful Life (RUL). The model achieved a ROC-AUC score of 0.745, enabling early fault detection and reducing potential downtime risks.

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This project focuses on predictive maintenance for drones using machine learning and multi-sensor data analysis to predict component failures and estimate Remaining Useful Life (RUL). The model achieved a ROC-AUC score of 0.745, enabling early fault detection and reducing potential downtime risks.

machine-learning data-visualization python-programming feature-engineering hyperparameter-tuning model-evaluation time-series-analysis model-optimization sensor-data-analysis