Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Kandeo/East-Africa-Financial-Inclusion---Analysis

Domain:

socioeconomic
Creator:
Kan
Host:
# # Financial Inclusion East Africa #### Data Science Project, October 2021 #### By **Christine Kiki** ## 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. The research problem is to figure out how we can predict which individuals are most likely to have or use a bank account. The solution will help provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania, and Uganda. It will also provide insights into some of the key demographic factors that might drive individuals’ financial outcomes. ## Setup/Installation Requirements Google Colaboratory Pandas, Numpy and Matplotlib Libraries Exploratory Data analysis techniques Multiple regression and Reduction technique tools. ## Known Bugs No Known Bugs ## Technologies Used Jupyter Notebook ## Support and contact details To make a contribution to the code or any part of the project, Kindly contact me through; christinekandeo@gmail.com. ### License Copyright (c) 2021

Visit

github.com