In this project, we seek to forecast US GDP growth rates using real-time data, comparing the forecast to the the latest vintage data. We made use of 3 models - Autoregressive (AR) Model, Autoregressive Distributed Lag (ADL) Model, and Random Forest Regression.
In this project, we seek to forecast US GDP growth rates using real-time data, comparing the forecast to the the latest vintage data. We made use of 3 models - Autoregressive (AR) Model, Autoregressive Distributed Lag (ADL) Model, and Random Forest Regression.
You can access our project here. It will take some time to load so please be patient!
- Clone the repository:
git clone https://github.com/DSE3101/DSE3101_Project.git
- Navigate to the project directory:
cd DSE3101_Project
- Install the required packages:
pip install -r requirements.txt
- Run the application:
python app.py