p-fraud - a Spring 2023 p-ai project

Use the following datasets, found in Amazon Science's fraud benchmark repo: https://github.com/amazon-science/fraud-dataset-benchmark#data-sources

Download the zip file, then place it into the /datasets folder

Name		Name	Last commit message	Last commit date
Latest commit History 73 Commits
ieee_proof_of_concept		ieee_proof_of_concept
.DS_Store		.DS_Store
.gitignore		.gitignore
Lee_SVM_based_on_NadeemChaudhary.ipynb		Lee_SVM_based_on_NadeemChaudhary.ipynb
Lee_Seohyeon_exploration.ipynb		Lee_Seohyeon_exploration.ipynb
Lee_xgboost_ieee.ipynb		Lee_xgboost_ieee.ipynb
NadeemChaudhary_Arsum_poc.ipynb		NadeemChaudhary_Arsum_poc.ipynb
NadeemChaudhary_SVM.ipynb		NadeemChaudhary_SVM.ipynb
NadeemChaudhary_SVM_VehicleLoan.ipynb		NadeemChaudhary_SVM_VehicleLoan.ipynb
README.md		README.md
Vehicle_Loan.ipynb		Vehicle_Loan.ipynb
abbott_nn_poc.ipynb		abbott_nn_poc.ipynb
abrar_ieee_oversample.ipynb		abrar_ieee_oversample.ipynb
abrar_vehicleloan.ipynb		abrar_vehicleloan.ipynb
abrar_vehicleloan_oversample.ipynb		abrar_vehicleloan_oversample.ipynb
ecommerceForestreal.ipynb		ecommerceForestreal.ipynb
furukawa_nn_poc.ipynb		furukawa_nn_poc.ipynb
furukawa_nn_poc_oversampled.ipynb		furukawa_nn_poc_oversampled.ipynb
furukawa_nn_undersampled.ipynb		furukawa_nn_undersampled.ipynb
ieee_fraud_exploration.ipynb		ieee_fraud_exploration.ipynb
pai-phishing.ipynb		pai-phishing.ipynb
randomforest-2.ipynb		randomforest-2.ipynb
randomforest_Daisy_Abrar.ipynb		randomforest_Daisy_Abrar.ipynb
test-andrew.ipynb		test-andrew.ipynb
twitter_fraud.ipynb		twitter_fraud.ipynb

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