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Time Series Analysis of the Air Passengers Kaggle Dataset. Forecast the number of passengers for the next 10 years of the airlines using ARIMA.

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AIII - Siddarth_WkSpc.RData		AIII - Siddarth_WkSpc.RData
AIII - Siddarth_final.R		AIII - Siddarth_final.R
AirPassengers.xlsx		AirPassengers.xlsx
Analysis Report.pdf		Analysis Report.pdf
README.md		README.md

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Air-Passengers-Time-Series-analysis-ARIMA

Time Series Analysis of the Air Passengers Dataset from Kaggle using ARIMA in R

Required packages

tseries
aTSA
forecast
urca

Workflow

Collecting the data, converting it to time-series and analysing trend
Decomposing the time-series and adjusting for seasonality
Testing and Adjusting for Stationarity by differencing
Analyze ACF and PACF plots
Apply auto.arima and fit the appropriate model
Make forecast
Test validity using Ljung-Box test

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Time Series Analysis of the Air Passengers Kaggle Dataset. Forecast the number of passengers for the next 10 years of the airlines using ARIMA.

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