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rezamosavi8740 / Model-Selection-in-Credit-Card-Transaction-Analysis
Explore model selection in credit card transaction analysis with Reza Mousavi's Git project. Addressing class imbalance, it employs undersampling and features tree-based models, SVM, and logistic regression for effective fraud detection
decision-trees feature-selection imbalanced-classification imbalanced-data logestic-regression model-selection random-forest svm tree-base-model xgbosst
Language:Jupyter Notebook 2

rezamosavi8740 / Model-Selection-in-Credit-Card-Transaction-Analysis