The goal of this project is to predict the Remaining Useful Life (RUL) of aircraft engines based on sensor data. Predictive maintenance helps identify the point at which an engine is likely to fail, allowing for timely maintenance to prevent failures and optimize maintenance schedules.
random-forest exploratory-data-analysis visualisation feature-engineering lstm-neural-networks model-evaluation gradient-boosting machine-learning-models data-loading-and-cleaning
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Updated
Jun 30, 2024 - Jupyter Notebook