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!

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61 Stars

47 Forks

61 Watchers

Jupyter Notebook Language

apache-2.0 License

Cost to Build

$33.8K

Market Value

$55.5K

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2023-06-01

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What is the IBM/xgboost-smote-detect-fraud GitHub project? Description: "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!". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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