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Contains an economic forecasting project which trains data and predicts using AR, ADL and RF models

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Forecasting US GDP Growth Rates

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.

Overview

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!

Installation

  1. Clone the repository:
    git clone https://github.com/DSE3101/DSE3101_Project.git
  2. Navigate to the project directory:
    cd DSE3101_Project
  3. Install the required packages:
    pip install -r requirements.txt
  4. Run the application:
    python app.py

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Contains an economic forecasting project which trains data and predicts using AR, ADL and RF models

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