This repository contains code and associated files supporting a Medium blog post on applying time series forecasting to predict the condition of hydraulic systems using publicly available data from the UCI ML repository. Please visit the blog post here Part 2 of the series is here
These blogs and posted notebooks apply:
- feature extraction and selection using tsfresh packages
- modeling using LSTMs and ensemble gradient
- deploying with Flask
- modeling with ARIMA and H20.ai's Auto ML