The goal of this repo/Jupyter notebook is to show how regression models can be used to predict the next "cycle" within a timeseries dataset.
The data being used has been generated randomly, but you are free to modify the generate_synthetic_data function or incorporate your own data set.
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Predicting cycles in timeseries data using regression
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