MatteoM95/Default-of-Credit-Card-Clients-Dataset-Analisys
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
This project helps financial institutions, particularly credit card companies, predict which clients are likely to default on their credit card payments. By inputting client demographics, credit limits, payment histories, and bill statements, it outputs a prediction of whether a client will default next month. Credit risk analysts, loan officers, and fraud prevention teams can use this to make informed decisions.
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Use this if you need to identify key risk factors and predict future credit card defaults for clients based on their financial and demographic data.
Not ideal if you are looking to predict other types of financial risk beyond credit card default or need real-time, high-frequency transaction analysis.
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Oct 27, 2023
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