Predictive maintenance using LSTM

This example is based on the LSTM for Predictive Maintenance on Pump Sensor Data tutorial. It includes the various steps we need to perform until we apply the model, such as:

• cleaning data
• removing NaNs,
• outlier removal/Noise reduction,
• feature selection,
• create timeseries data and
• normalise/standardize

The dataset can be downloaded from here.

Credits

• Jen Werth