IBM/xgboost-smote-detect-fraud

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

语言：Jupyter Notebook · GitHub 星标：68 · Fork：47

话题：analytics · data-analysis · data-mining · data-visualization · datascience · fraud · fraud-detection · fraud-prevention

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