Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

ronniealdrin/Machine_Learning_Financial_Inclusion_in_Africa

Domaine:

socioeconomic

Type de record:

project
Créateur:
ron
Hôte:
Machine Learning Project: Financial inclusion in Africa. # Financial Inclusion In Africa This python code, in a Jupyter Notebook file, used differents machine learning models to predict the people most likely to have or use a bank account, based on 4 African countries: Kenya, Rwanda, Tanzania and Uganda. This project was evaluated by the 'Classification accuracy score'. ## Requirements and Environment Requirements: - pyenv with Python: 3.11.3 Environment: ```Bash pip install --upgrade pip pip install -r requirements.txt python -m venv .venv source .venv/bin/activate ```

Visit

github.com

Tasks

text classification

Tags

jupyter-notebookmachine-learningpredictive-modelingpython

Licenses

MIT