kennethleungty/End-to-End-AutoML-Insurance
An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
This project helps insurance companies efficiently identify health insurance customers who are most likely to purchase additional vehicle insurance. By inputting existing customer data, it generates predictions on who is interested in cross-selling, allowing for more targeted and effective sales campaigns. This tool is for insurance product managers or marketing analysts seeking to boost cross-sell conversion rates.
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Use this if you need to quickly and automatically build a predictive model to identify cross-sell opportunities for existing insurance customers.
Not ideal if you require extensive manual control over every step of the machine learning model development process rather than an automated approach.
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Jun 09, 2022
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