This project builds a basic machine learning model to predict bank account ownership (financial inclusion) across Kenya, Rwanda, Tanzania, and Uganda using demographic and financial survey data. The workflow includes data cleaning, EDA, feature engineering, encoding, feature selection, model training, evaluation, and model deployment.