GitHub / 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
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PURL: pkg:github/rezamosavi8740/Model-Selection-in-Credit-Card-Transaction-Analysis
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License: None
Language: Jupyter Notebook
Size: 3.36 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: decision-trees, feature-selection, imbalanced-classification, imbalanced-data, logestic-regression, model-selection, random-forest, svm, tree-base-model, xgbosst