/Aircraft-Engine-RUL-Prediction

Objective of this project is to built a sequential neural network which can predict the remaining useful life of an engine based on historical sensor data. For this regression problem, I employed keras Long-short-term-memory (LSTM) model with 'relu' activation function and 'rmsprop' optimizer to predict time-to-event.

Primary LanguageJupyter Notebook

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