- Built a machine learning model to identify fraudulent transactions, utilizing Logistic Regression, XGBoost, SVC, and Random Forest algorithms, achieving the highest accuracy with XGBoost.
- Performed extensive data preprocessing and exploratory data analysis, including feature engineering, encoding categorical variables, and visualizing transaction patterns using Seaborn and Matplotlib.
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Online Payment Fraud Detection