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Develop a software that allows you to :
- Make commercial forecasts from a history
- Compare several forecasting methods
- Display the results (forecasts and comparison)
- Single, double and triple exponential smoothing with parameter optimisation
- ARIMA to compute a statistic model
- LSTM, a deep learning model
- Give the decision-maker the choice of which algorithm(s) to use
- Propose default settings, and give the decision maker the decision maker to change the parameters
- Pillow==8.1.0
- matplotlib==3.3.3
- pandas==1.2.0
- PyQt5==5.15.2
- PyQt5-stubs==5.14.2.2
- pyqt5-tools==5.15.2.3
- pyqtgraph==0.11.1
- scipy==1.6.0
- sklearn==0.0
- statsmodels==0.12.1
- tensorflow-keras==1.12.0
- XlsxWriter==1.3.7
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