frauds

There are 1 repository under frauds topic.

Brunopaes / mooncake
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.
graduation-project data-science predictors-performance frauds svm tree-classifiers random-forest
Language:Jupyter Notebook 7
marinimau / spark_fraud_detection
An implementation of a distributed machine learning algorithm using Spark able to identify fraud in credit card transactions
spark terraform s3 s3-storage aws amazon-web-services fraud-detection credit-card-fraud machine-learning machine-learning-algorithms big-data frauds transactions classification financial-analysis finance
Language:Python 6
rohandhupar1996 / Fraud-Detection-Production
Fraud Detection in financial data using auto-encoders deploy-able code
financial frauds tensorflow production aws docker
Language:Jupyter Notebook 6
crazybiceps / Anamoly_Detection
Finding the doctors who are taking unethical use of their insurance funds
doctors insurance-funds algorithm insurance-frauds frauds anamoly-detection r graphs anamoly-detection-using-graphs pagerank personalised-pagerank
Language:R 1
PaletiKrishnasai / FraudDetection
An ML application which catches credit card frauds
credit-cards dataset frauds ml numpy pandas principal-component-analysis transaction
Language:Jupyter Notebook 1
DataEngel / Credit-Card-Fraud-Detection-with-Machine-Learning-and-Deep-Learning-methods
Classifying of fraudulent credit card transactions so that customers are not charged for items they did not purchase.
machine-learning-algorithms deep-learning deep-neural-networks sklearn classification-algorithm frauds credit-cards
Language:Jupyter Notebook 0
rodrigobercini / credit-card-fraud-kaggle
Classificando dados anônimos de transações por cartão de crédito como fraudulentas ou genuínas
cybersecurity dados dataset digital-fraud ensemble-learning frauds kaggle machine-learning tensorflow
0
tech-espm / pgt-mooncake
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.
graduation-project data-science predictors-performance frauds svm tree-classifiers random-forest
Language:Jupyter Notebook

frauds

Brunopaes / mooncake

marinimau / spark_fraud_detection

rohandhupar1996 / Fraud-Detection-Production

crazybiceps / Anamoly_Detection

PaletiKrishnasai / FraudDetection

DataEngel / Credit-Card-Fraud-Detection-with-Machine-Learning-and-Deep-Learning-methods

rodrigobercini / credit-card-fraud-kaggle

tech-espm / pgt-mooncake