The online payment fraud analysis project follows several step approach from data preprocessing through model evaluation, result comparison and final model selection, using transaction patterns to identify fraud indicators including account draining, suspicious transfers, and balance inconsistencies.
svc logisticregression gridsearchcv simpleimputer xgbclassifier randomforestclassifier lgbmclassifier bayessearchcv sgdclassifier gradientboostingclassifier robustscaler randomundersampler histgradientboostingclassifier
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Updated
May 19, 2025 - Jupyter Notebook