Alternatives and similar repositories for FraudDetection

Users that are interested in FraudDetection are comparing it to the libraries listed below

• neo4j-product-examples / demo-fraud-detection-with-p2p
  Exploring Neo4j and Graph Data Science for Fraud Detection
  ☆78Updated 2 years ago
• logicalclocks / aml_end_to_end
  AML End to End Example
  ☆55Updated 3 years ago
• PacktPublishing / Hands-On-Graph-Analytics-with-Neo4j
  Hands-On Graph Analytics with Neo4j, Published by Packt
  ☆94Updated last week
• PacktPublishing / Graph-Machine-Learning
  Graph Machine Learning, published by Packt
  ☆315Updated 3 weeks ago
• neo4j-graph-examples / fraud-detection
  Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom
  ☆48Updated last year
• PacktPublishing / Scala-Machine-Learning-Projects
  Scala Machine Learning Projects, published by Packt
  ☆50Updated 2 years ago
• susanli2016 / PySpark-and-MLlib
  Getting start with PySpark and MLlib
  ☆300Updated 7 years ago
• cog-data / ML_Interpretability_tutorial
  A tutorial about Machine Learning Interpretability
  ☆17Updated 6 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆54Updated 8 years ago
• pyTigerGraph / pyTigerGraph
  pyTigerGraph is a Python package for interacting with TigerGraph databases.
  ☆56Updated 3 years ago
• mahmoudparsian / data-algorithms-with-spark
  O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian
  ☆224Updated 2 years ago
• alfredsasko / Customer-Journey-Analytics
  Analytics for building Customer Journey Map in Ecommerce
  ☆29Updated 5 years ago
• elsyifa / Classification-Pyspark
  This repository of classification template using pyspark.
  ☆18Updated 6 years ago
• eBay / xFraud
  ☆72Updated 2 years ago
• IBM / xgboost-smote-detect-fraud
  Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…
  ☆65Updated 5 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆420Updated last year
• Apress / machine-learning-with-pyspark
  Source Code for 'Machine Learning with PySpark' by Pramod Singh
  ☆116Updated 6 years ago
• runawayhorse001 / LearningApacheSpark
  LearningApacheSpark
  ☆249Updated last year
• andfanilo / pyspark-tutorial
  Jupyter notebooks for pyspark tutorials given at University
  ☆110Updated 4 months ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated 2 weeks ago
• namebrandon / Sparkov_Data_Generation
  Synthetic Credit Card Transaction Generator used in the Sparkov program.
  ☆158Updated 3 years ago
• emreakoz / money-laundering-detection
  This repository builds an anti-money laundering scheme employing graph theory and social network analysis to detect the sophisticated lay…
  ☆20Updated 6 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 7 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆143Updated 2 years ago
• MingChen0919 / learning-apache-spark
  Notes on Apache Spark (pyspark)
  ☆297Updated 6 years ago
• h2oai / driverlessai-recipes
  Recipes for Driverless AI
  ☆254Updated last week
• alenegro81 / gpml
  This repo contains all the code required by the book organized by chapter
  ☆76Updated 4 years ago
• titicaca / spark-iforest
  Isolation Forest on Spark
  ☆231Updated last year
• dachosen1 / Feature-Engineering-for-Fraud-Detection
  Implementation of feature engineering from Feature engineering strategies for credit card fraud
  ☆42Updated 4 years ago
• pycaret / pycaret-demo-mlflow
  pycaret-demo-mlflow
  ☆30Updated 4 years ago