https://github.com/pegah-ardehkhani/air-passenger-demand-forecasting

Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions
https://github.com/pegah-ardehkhani/air-passenger-demand-forecasting

arima-forecasting arma auto-regressive auto-regressive-model boxcox decomposition demand-forecasting dickey-fuller dickey-fuller-test flight-data lstm machine-learning machine-learning-algorithms non-stationary qqplot tensorflow time-series time-series-analysis time-series-data time-series-forecasting

Last synced: 20 days ago
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Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions

• Host: GitHub
• URL: https://github.com/pegah-ardehkhani/air-passenger-demand-forecasting
• Owner: Pegah-Ardehkhani
• License: mit
• Created: 2022-12-02T09:33:29.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-12-03T12:19:59.000Z (12 months ago)
• Last Synced: 2024-12-03T13:28:05.853Z (12 months ago)
• Topics: arima-forecasting, arma, auto-regressive, auto-regressive-model, boxcox, decomposition, demand-forecasting, dickey-fuller, dickey-fuller-test, flight-data, lstm, machine-learning, machine-learning-algorithms, non-stationary, qqplot, tensorflow, time-series, time-series-analysis, time-series-data, time-series-forecasting
• Language: Jupyter Notebook
• Homepage:
• Size: 2.47 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# SkyPredict: Air Passenger Demand Forecasting ✈👨‍✈ ![license](https://img.shields.io/github/license/Pegah-Ardehkhani/Air-Passenger-Demand-Forecasting.svg)  [![nbviewer](https://img.shields.io/badge/render-nbviewer-orange.svg)](http://nbviewer.org/github/Pegah-Ardehkhani/Air-Passenger-Demand-Forecasting/blob/main/SkyPredict%20-%20Air%20Passenger%20Demand%20Forecasting.ipynb)



  



## Dataset 📔

[Kaggle link: Air Passengers Data](https://www.kaggle.com/datasets/rakannimer/air-passengers)