Skip to content

samuel-asefa/GlobalTradeModel

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Global Trade Prediction Model

A machine learning project predicting bilateral trade flows between countries using economic indicators, geographic factors, and policy variables.

Features

  • Linear regression model with 7 key predictors
  • pycountry integration for ISO 3166-1 alpha-3 country code normalization
  • Comprehensive data preprocessing and country code validation
  • Professional visualization suite
  • Detailed trade pair predictions
  • Statistical validation and model interpretation

Graphs

The plots below summarize the trade flow distribution and top trading pairs with ISO country codes.

Quick Start

pip install -r requirements.txt
python global_trade_model.py

About

A machine learning project predicting bilateral trade flows between countries using economic indicators, geographic factors, and policy variables.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages