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.

Raphael-Blaize/Financial-inclusion-in-Africa-Kenya-Rwanda-Tanzania-and-Uganda-

Domaine:

socioeconomic

Type de record:

project
Créateur:
Rap
Hôte:
# Financial-inclusion-in-Africa-Kenya-Rwanda-Tanzania-and-Uganda # Overview * 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. #### -- Project Status: [Completed] ## Project Intro/Objective * The research problem is to figure out how we can predict which individuals are most likely to have or use a bank account ### Partner * [Moringa School] * moringaschool.com ### Methods Used * Descriptive Statistics * Data Visualistaion Techniques * Data Analysis * EDA Univariate Analysis * Bi-variate Analysis * Multivariate Analysis ### Technologies * Python * Pandas,Numpy,Gooogle Colab ```python import pandas as pd # python library that import datasets into a working env and does so much more such as helping in cleaning datasets etc import numpy as np # offers comprehensive mathematical functions etc from pandas_profiling import ProfileReport …

Visit

github.com

Licenses

GPL-3.0

Similaires

RobertMichuki/Financial-Inclusion-across-Kenya-Rwanda-Tanzania-and-Uganda-EDA-Financial Literacy as a Driver of Financial Inclusion in Kenya and TanzaniaInnovation and Financial Inclusion in Kenya Innovation and Financial Inclusion in KenyaGerediNIYIBIGIRA/Rwanda-Financial-Inclusion-AnalysisRaphael-Blaize/python-project-for-MTN-Cote-d-Ivoire--to-help-in-upgrade-of-its-infrastructure-strategyraphael-nibishaka/rwanda-vehicle-insights

RobertMichuki/Financial-Inclusion-across-Kenya-Rwanda-Tanzania-and-Uganda-EDA-

# Financial-Inclusion-across -Kenya-Rwanda-Tanzania-and-Uganda-EDA- # Exploratory Data Analysis #

Financial Literacy as a Driver of Financial Inclusion in Kenya and Tanzania

Efforts are being exerted in many developing countries to promote financial inclusion by increasing

Innovation and Financial Inclusion in Kenya Innovation and Financial Inclusion in Kenya

This chapter analyzes the role of financial innovation and mobile phone technologies to financial in

GerediNIYIBIGIRA/Rwanda-Financial-Inclusion-Analysis

# Rwanda Financial Inclusion Analysis A comprehensive data science project analyzing financial incl

Raphael-Blaize/python-project-for-MTN-Cote-d-Ivoire--to-help-in-upgrade-of-its-infrastructure-strategy

Cleaning and Analyzing datasets provided by MTN Cote d'Ivoire # MTN Cote d'Ivoire Analysing and Cle

raphael-nibishaka/rwanda-vehicle-insights

# Vehicle Analytics System A Django web application integrating machine learning models for compreh