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The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.

  • Updated Jun 1, 2024
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This repository contains all the necessary files and documentation for a detailed analysis of bank loan data using a combination of SQL, Power BI, Excel, and Tableau. The project aims to uncover insights related to loan applications, funding, repayments, and borrower demographics, facilitating data-driven decision-making in the banking sector.

  • Updated Jun 1, 2024

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