Automated Aviation Passenger Forecasting Using SARIMAX Model

Predictive analysis project

Project Description

This project focuses on forecasting monthly passenger count in Canadian Aviation data using historical data from Statistics Canada. It uses an automated pipeline that forecasts monthly passenger volumes using the data from Stats Canada and SARIMAX time-series model.

Dataset Information

Source: Statistics Canada
Table Number: 23-10-0079-01
Click here to see the table

Tools Used

Python, Pandas, statsmodels (SARIMAX), Matplotlib, Altair

Forecast