https://github.com/alejandromeyer/machine-learning-for-gdp-growth-estimation

https://github.com/alejandromeyer/machine-learning-for-gdp-growth-estimation

econometric-analysis economics-models jupyter-notebook machine-learning python

Last synced: 7 months ago
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• Host: GitHub
• URL: https://github.com/alejandromeyer/machine-learning-for-gdp-growth-estimation
• Owner: AlejandroMeyer
• Created: 2025-01-26T11:34:55.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-01-26T11:39:14.000Z (9 months ago)
• Last Synced: 2025-01-26T12:24:17.608Z (9 months ago)
• Topics: econometric-analysis, economics-models, jupyter-notebook, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Germany GDP Forecasting with Machine Learning 📊  

This project provides a machine learning model to analyze and predict Germany's Gross Domestic Product (GDP) using data sourced from the **World Bank**. It applies linear regression techniques to forecast future GDP values and visualize economic trends over time. The model can be adapted to analyze other countries as well.  

## Data Source  

The GDP data used in this project was downloaded from the **World Bank** and is contained in the following file:  

- **`API_NY.GDP.MKTP.CD_DS2_es_csv_v2_5998674.csv`** – GDP data file.  

## Project Files  

- **`main.py`** – Main script containing data processing, visualization, and prediction logic.  

- **`API_NY.GDP.MKTP.CD_DS2_es_csv_v2_5998674`** – Data with information.  

- **`requirements`** – Requirements to create project.  

## Features  

- **Data Processing:**  

  - Cleans and prepares Germany and EU GDP data for analysis.  

  - Handles missing values and data type conversions.  

  - Restructures data for easier processing and visualization.  

- **Visualization:**  

  - Time series plots to observe GDP trends for Germany and the EU.  

  - Regression plots to analyze relationships over the years.  

  - Dual-axis plots to compare GDP trends between Germany and the EU.  

- **Machine Learning Model:**  

  - Implements linear regression to estimate future GDP growth.  

  - Provides forecast values for Germany's GDP based on historical data.  

  - Compares predictions with actual data for validation.  

## Installation  

1. Clone the repository:  

   ```bash

   [git clone https://github.com/AlejandroMeyer/Machine-Learning-for-GDP-Growth-Estimation.git]