GPShiva/Credit_Fraud_Detection

The following repository consists of Jupyter Notebook which gives model to detect credit fraud. Multiple ML algorithms are used like Logistic Regression, Random Forests, Decision Trees, XGBoost and K-NN with various class balance techniques used like SMOTE, ADASYN and Random Oversampling

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