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
random-forest
svm
feature-selection
model-selection
decision-trees
imbalanced-data
imbalanced-classification
logestic-regression
tree-base-model
xgbosst
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Updated
Jan 2, 2024 - Jupyter Notebook