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.

Audrey-ai/Financial-Inclusion-State-in-East-Africa

Domaine:

socioeconomic

Type de record:

datasetproject
Créateur:
Aud
Hôte:
# Financial-Inclusion-State-in-East-Africa Finscope surveys data analysis ranging from 2016 to 2018. The research problem is to figure out how we can predict which individuals are most likely to have or use a bank account in Kenya, Uganda, Rwanda and Tanzania. By AUDREY IMALI # Description Financial Inclusion remains one of the main obstacles to economic and human development in Africa. For example, across Kenya, Rwanda, Tanzania, and Uganda only 9.1 million adults (or 13.9% of the adult population) have access to or use a commercial bank account. Traditionally, access to bank accounts has been regarded as an indicator of financial inclusion. Despite the proliferation of mobile money in Africa and the growth of innovative fintech solutions, banks still play a pivotal role in facilitating access to financial services. Access to bank accounts enables households to save and facilitate payments while also helping businesses build up their credit-worthiness and improve their access to other financial services. Therefore, access to bank accounts is an essential contributor to long-term economic growth. The research problem is to figure out how we can predict which individuals are most likely to have or use a bank account. Your solution will help provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania, and Uganda, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes. # Setup/Installation Requirements All you need to run this code is a browser with access to Google CoLab or alternatively Jupyter Notebook can be used.Both tools are for data preparation and analysis. For data manipulation the Numpy,Pandas,Seaborn,Matplotlib libraries should be imported. The dataset used can be found on this link: bit.ly The corresponding dataset description can be found here: bit.ly # Technologies Used This project uses Python as the main langua …

Visit

github.com

Similaires

Jenn-mawia/State-of-Financial-Inclusion-in-East-AfricaRenzoTorrecuso/Financial-Inclusion-in-East-AfricaOnzyBoy/Financial-Inclusion-in-East-AfricaBrendaChepkoech/Financial-inclusion-in-East-Africacollinsbett1/Financial-Inclusion-in-East-Africahellen2021/FINANCIAL-INCLUSION-IN-EAST-AFRICA

Jenn-mawia/State-of-Financial-Inclusion-in-East-Africa

# State-of-Financial-Inclusion-in-East-Africa # Name of contributors Jenipher Mawia # Description

RenzoTorrecuso/Financial-Inclusion-in-East-Africa

Dear visitor, Thank you for passing by. What does this project search? First I search to extract

OnzyBoy/Financial-Inclusion-in-East-Africa

# 🌍 Financial Inclusion Prediction in East Africa ## 📌 Project Overview This project predicts the l

BrendaChepkoech/Financial-inclusion-in-East-Africa

A model for predicting which individuals are most likely to have or use a bank account as it will he

collinsbett1/Financial-Inclusion-in-East-Africa

# Financial-Inclusion-in-East-Africa # Description The research problem is to figure out how we can

hellen2021/FINANCIAL-INCLUSION-IN-EAST-AFRICA

Moringa week 2 project//CORE # Financial-Inclusion-in-East-Africa ### Moringa week 2 project//CORE