This Data Science-like project is aimed on analyzing a bunch of techniques for False Negatives (Frauds classified as Non-Frauds) in a extreme imbalanced dataset - Financial Fraud and improving the predictors performance.
Fraud Detection in financial data using auto-encoders deploy-able code
An implementation of a distributed machine learning algorithm using Spark able to identify fraud in credit card transactions
Finding the doctors who are taking unethical use of their insurance funds
An ML application which catches credit card frauds
This Data Science-like project is aimed on analyzing a bunch of techniques for False Negatives (Frauds classified as Non-Frauds) in a extreme imbalanced dataset - Financial Fraud and improving the predictors performance.
Classificando dados anônimos de transações por cartão de crédito como fraudulentas ou genuínas
Classifying of fraudulent credit card transactions so that customers are not charged for items they did not purchase.
Add a description, image, and links to the frauds topic page so that developers can more easily learn about it.
To associate your repository with the frauds topic, visit your repo's landing page and select "manage topics."