KimutaiLawrence / Financial-Inclusion-in-Africa-App

A Data science app to predict who in Africa is most likely to have a bank account?

Home Page:https://share.streamlit.io/davisy/financial-inclusion-in-africa-app/app.py

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Streamlit App MIT LICENSE MAINTAINED BADGE

Financial Inclusion in Africa App

A Data science app to predict who in Africa is most likely to have a bank account.

screenshot of the Swahili News Classifier App

Installation

Install all streamlit requirements by run the following command

pip install requirements.txt

Run Streamlit

To access and use the application,donwoload or clone the repository and then run the command below.

streamlit run app.py

Finally browse the link provided in your browser.

Streamlit Cloud

The application has been deployed in the Streamlit Cloud.You can access here: https://share.streamlit.io/davisy/financial-inclusion-in-africa-app/app.py

Issues

Incase you have any difficulties or issues while trying to run the app you can raise it on the issues section.

Pull Requests

If you have something to add or new idea to implement, you are welcome to create a pull requests on improvement.

Give it a Star

If you find this repo useful , give it a star so as many people can get to know it.

Credits

All the credits to Davis David

About

A Data science app to predict who in Africa is most likely to have a bank account?

https://share.streamlit.io/davisy/financial-inclusion-in-africa-app/app.py


Languages

Language:Jupyter Notebook 95.2%Language:Python 4.8%