ibekwepromise/FINANCIAL-INCLUSION-IN-AFRICA

# FINANCIAL-INCLUSION-IN-AFRICA The objective of this project is to create a machine learning model to predict which individuals are most likely to have or use a bank account. The models and solutions developed can provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania and Uganda, while providing insights into some of the key factors driving individual's financial security. A survey was conducted and various information were collected from over 20,000 individuaks from four (4) countries across Africa including Uganda, Rwanda, Kenya and Tanzania. The information relates to features that indicates whether an individual is likely to own a bank account or not. Secondly, Conduct analysis and derive meaningful insights that can help policymakers, NGOs, and businesses develop targeted strategies to improve financial access and economic growth. To achieve this goal, will be performing the following analysis: 1.Analyzing the distribution of respondents by country, age, gender, location, etc over the Years. 2.⁠calculating the percentage of individuals with and without bank accounts in each country 3.identifying correlations between bank account ownership and other features. Model Selection and Evaluation: Train and evaluate different machine learning models to predict bank account ownership and use scoring metrics to evaluate the performance of your models.