https://github.com/hermann-web/demand-forecasting-with-python

How to make forecast with python ? I develop a software that allows to : - Make commercial forecasts from a history - Compare several forecasting methods - Display the results (forecasts and comparison)
https://github.com/hermann-web/demand-forecasting-with-python

arima arima-forecasting arima-model demand-forecasting exponential-smoothing forecast forecasting-methods forecasting-models lstm machine-learning python statsmodels time-series

Last synced: 8 months ago
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How to make forecast with python ? I develop a software that allows to : - Make commercial forecasts from a history - Compare several forecasting methods - Display the results (forecasts and comparison)

• Host: GitHub
• URL: https://github.com/hermann-web/demand-forecasting-with-python
• Owner: Hermann-web
• License: mit
• Created: 2021-09-04T11:58:34.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-01-22T01:23:18.000Z (over 4 years ago)
• Last Synced: 2025-02-23T10:15:54.776Z (about 1 year ago)
• Topics: arima, arima-forecasting, arima-model, demand-forecasting, exponential-smoothing, forecast, forecasting-methods, forecasting-models, lstm, machine-learning, python, statsmodels, time-series
• Language: Python
• Homepage:
• Size: 85 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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# Demand forecasting with python

Develop a software that allows you to :

- Make commercial forecasts from a history

- Compare several forecasting methods

- Display the results (forecasts and comparison)

# Forecasting algorithm(s) used:

- Single, double and triple exponential smoothing with parameter optimisation 

- ARIMA to compute a statistic model

- LSTM, a deep learning model

# Features

- 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

 

# Requirements 

- 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

# python version for this project: 3.7.4

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