Time Series Forecasting library (Python)

This is a library encapsulating the algorithm developed by me for time series forecasting in general. It has been used for Inventory Management (particularly Sales Forecasting), Liquidation Forecasting and numerous other projects of the Syngenta INPU data science intern team.

The library supports:

• Incomplete datasets
• Multiple time series in one dataframe, i.e., multiple brands/SKUs/etc
• Daily, monthly or annual levels of aggregate/forecasting
• Any number of covariates
• Any custom model which must be a regressor with fit() and predict() methods