Credit_Risk_Analysis
suyinwb
Using the credit card credit dataset from LendingClub, a peer-to-peer lending services company, you’ll oversample the data using the RandomOverSampler and SMOTE algorithms, and undersample the data using the ClusterCentroids algorithm. Then, you’ll use a combinatorial approach of over- and undersampling using the SMOTEENN algorithm.
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4 data points · 2022-05-01 → 2023-07-01How do you feel about this project?
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Question copied to clipboardWhat is the suyinwb/Credit_Risk_Analysis GitHub project? Description: "Using the credit card credit dataset from LendingClub, a peer-to-peer lending services company, you’ll oversample the data using the RandomOverSampler and SMOTE algorithms, and undersample the data using the ClusterCentroids algorithm. Then, you’ll use a combinatorial approach of over- and undersampling using the SMOTEENN algorithm.". 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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