Applying SQL skills to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.
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Updated
May 6, 2022 - Jupyter Notebook
Applying SQL skills to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.
The project involves developing a Python script for the Fintech DataLab Challenge23, utilizing a linear regression model to forecast client transactions and predict transaction amounts based on historical data for a leading fintech company.
The goal of this blockchain exploration project is to utilize BigQuery to explore the blockchain of a chosen cryptocurrency (BTC).
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