itsjayjayy/Financial-Inclusion-in-Africa

# Financial Inclusion in Africa: Bank Account Prediction ## Overview This project focuses on **Financial Inclusion in Africa**, leveraging a dataset provided by the Zindi platform. The dataset contains demographic information and details about financial service usage by approximately 33,600 individuals across East Africa. The goal is to build a machine learning model that predicts whether an individual is likely to have or use a bank account. This is crucial in helping governments, organizations, and financial institutions better understand and improve financial inclusion. ## What is Financial Inclusion? **Financial inclusion** refers to the process by which individuals and businesses gain access to affordable financial products and services—such as transactions, payments, savings, credit, and insurance—that meet their needs in a responsible and sustainable way. --- ## Dataset Information The dataset contains various demographic features that can help in predicting whether an individual has a bank account. Each row represents one individual from East Africa, and the dataset provides the following columns (features): | Feature Name | Description | |--------------------|---------------------------------------------------------------| | **ID** | Unique identifier for each individual | | **Country** | Country of the individual | | **Year** | The year in which the data was collected | | **Bank Account** | Whether the individual has a bank account (target variable) | | **Location Type** | Type of location (Urban/Rural) | | **Cellphone Access** | Whether the individual has access to a cellphone | | **Household Size** | Number of people in the individual’s household | | **Age of Respondent** | Age of the individual …