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Created a machine learning model that can analyze transaction features and predict the likelihood of fraud using XG Boost Algorithm.

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Fraud Detection using Python

Developed a predictive model using linear regression that accurately identifies and classifies fraudulent transactions. Detection of fraud is critical for financial institutions and e-commerce platforms to prevent financial losses and maintain trust. Hence, I have created a machine learning model that can analyze transaction features and predict the likelihood of fraud using XG Boost Algorithm.

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Created a machine learning model that can analyze transaction features and predict the likelihood of fraud using XG Boost Algorithm.

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