![MAKE | Free Full-Text | A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection MAKE | Free Full-Text | A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection](https://pub.mdpi-res.com/make/make-05-00019/article_deploy/html/images/make-05-00019-g001.png?1678528611)
MAKE | Free Full-Text | A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection
![The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients - ScienceDirect The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0957417407006719-gr3.jpg)
The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients - ScienceDirect
GitHub - MatteoM95/Default-of-Credit-Card-Clients-Dataset-Analisys: MML project tesina - default of Credit Card clients dataset analysis using advance ML models
![PDF] An Investigation of Credit Card Default Prediction in the Imbalanced Datasets | Semantic Scholar PDF] An Investigation of Credit Card Default Prediction in the Imbalanced Datasets | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/4f5b453f42bab3eb98724c04cfe0383166780565/5-Figure2-1.png)
PDF] An Investigation of Credit Card Default Prediction in the Imbalanced Datasets | Semantic Scholar
![Logistic regression in R: A classification technique to predict credit card default | Data Science Dojo Logistic regression in R: A classification technique to predict credit card default | Data Science Dojo](https://datasciencedojo.com/wp-content/uploads/17-2.jpg)