/Financial-Risk-Assessment-using-LightGBM

This project is a demonstration of a Financial Risk Assessment application that predicts risk tolerance based on user-provided financial data. It combines machine learning models (Logistic Regression and LightGBM), FastAPI for the backend, and Streamlit for the frontend to create an interactive web application.

Primary LanguagePython

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