tomeliud/Prediction-model-of-individuals-that-are-most-likely-to-own-a-bank-account-in-Eastern-Africa

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, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes. # Prediction-model-of-individuals-that-are-most-likely-to-own-a-bank-account-in-Eastern-Africa 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, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes. # Question To develop a predictive model that will analyze factors that will affect bank account ownership and use in Kenya with an accuracy of 80% and above # Methodology Understanding features and target variables Data Cleaning Exploatory Data Analysis Label Encoding Building Models Validation Conclusion # Setup and Installation Colab Jupyter Notebook # Know bugs None # Technologies Used Python # Contact For question, correction tomeliud500@gmail.com # Licences MIT licence