MoreenMarutaData/FINANCIAL-INCLUSION-IN-EAST-AFRICA-MORINGA-CORE-WEEK-2-PROJECT

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. # FINANCIAL-INCLUSION-IN-EAST-AFRICA-MORINGA-CORE-WEEK-2-PROJECT 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. I shall be working as a data scientist. I have been tasked to analyse and predict which individuals are most likely to have or use a bank account according to the data provided in East Africa. SETUP/INSTALLATION REQUIREMENTS Use google colab for data preparation, Load the url files to connect to dataset then connect to google drive to save file. Connect google colab to github to upload file or push code using Git bash Optionally you can also download your files to your device and upload them to your repository. TECHNOLOGY USED Python libraries- numpy, pandas, seaboorn, matplotlib KNOWN BUGS There are no known bugs in the project. SUPPORT AND CONTACT DETAILS Contact Information will be given on this link moringaschool.com Copyright (c) 2021 Moreen Maruta.