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This project evaluates and compares multiple forecasting techniques (ARIMA, SARIMA, Prophet) to assess economic growth trends, using publicly available GDP datasets.

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GDP-Forecasting-Methods/ │ ├── data/ # Your datasets │ └── gdp_data.csv │ ├── notebooks/ # Jupyter notebooks or scripts │ └── usagdpforecasting.R │ ├── src/ # Python scripts (if you modularized code) │ └── forecast_models.py │ ├── results/ # Output charts, CSV forecasts │ └── forecast_plot.png │ ├── README.md # Main project description ├── requirements.txt # Python dependencies └── LICENSE # License for your code

About

This project evaluates and compares multiple forecasting techniques (ARIMA, SARIMA, Prophet) to assess economic growth trends, using publicly available GDP datasets.

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