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This repository contains data analysis and customer segmentation of Kenyan banks. It aims to understand customer behaviors and patterns. Explore how Kenyan banks segment their customers using demographics, behavior, and needs. Gain data-driven strategies to target the right audiences with the most relevant products and services
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23
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chore(notebook): update notebook with modernized analysis and visualizations
a7f5184View on GitHubchore: add .gitignore to ignore models/, reports/ and common artifacts
dd01acfView on GitHubchore(notebook): update notebook with modernized analysis and visualizations
ddf1570View on GitHubdocs: document interactive Streamlit app and run instructions in README
83d7745View on GitHubfeat(app): add Streamlit app for interactive clustering (streamlit_app.py)
03896bdView on GitHubchore: add streamlit to requirements for interactive app
80015ccView on GitHubAdded a powerpoint presentation interpretation of the key results
a404cc6View on GitHubImplemented a dynamic approach to print marketing messages for different customer segments
cfd095eView on GitHubAdded summarry of financial attributes by banking relationship
47fa011View on GitHub