Alternatives and similar repositories for Detecting-Fraudulent-Credit-Card-Transactions

Users that are interested in Detecting-Fraudulent-Credit-Card-Transactions are comparing it to the libraries listed below

• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆107Updated 2 years ago
• pranab / beymani
  Hadoop, Spark and Storm based anomaly detection implementations for data quality, cyber security, fraud detection etc.
  ☆128Updated last year
• 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…
  ☆64Updated 5 years ago
• MayukhSobo / EnronFraud
  Fraud Detection by finding the Person of Interest (POI)
  ☆23Updated 8 years ago
• jimmycy93 / Credit-Card-Fraud-Detection
  A project on machine learning techniques dealing with imbalanced classification (Python)
  ☆12Updated 8 years ago
• AvinashSingh786 / Fraud-Analysis
  Insurance fraud claims analysis project
  ☆54Updated last year
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆61Updated 2 years ago
• Markus-Go / rapidminer-anomalydetection
  RapidMiner Extension for Anomaly Detection
  ☆95Updated 6 years ago
• vinayakumarr / CDMC2017
  Cybersecurity Data Mining Competition 2017
  ☆10Updated 6 years ago
• asnr / sas-to-python
  Translate SAS to pandas
  ☆26Updated 10 years ago
• h2oai / app-consumer-loan
  ☆44Updated 7 years ago
• aqibsaeed / Anomaly-Detection
  Anomaly detection algorithm implementation in Python
  ☆129Updated 5 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆71Updated 2 years ago
• bonzanini / VideoCourse-DataScienceRecipes
  Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing
  ☆33Updated 8 years ago
• Apress / mastering-ml-w-python-in-six-steps
  Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
  ☆113Updated 8 years ago
• goldshtn / spark-workshop
  Labs and data files for a full-day Spark workshop
  ☆24Updated 5 months ago
• hamaadshah / gan_deeplearning4j
  Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
  ☆21Updated 3 years ago
• namebrandon / Sparkov
  Markov Chain based fraud detection system in Spark.
  ☆13Updated 9 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago
• Azure / PySpark-Predictive-Maintenance
  Predictive Maintenance using Pyspark
  ☆129Updated 6 years ago
• cloudacademy / fraud-detection
  Fraud Detection model build with Python (numpy, scipy, pandas, scikit-learn), based on anonymized credit card transactions. The dataset i…
  ☆60Updated 3 years ago
• curiousily / Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
  iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transaction…
  ☆571Updated 6 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆103Updated 6 years ago
• hanhanwu / Hanhan_Data_Science_Resources2
  more data science resources
  ☆14Updated 3 years ago
• raffg / prophet_forecasting
  forecasting examples using Facebook Prophet
  ☆64Updated 5 years ago
• PacktPublishing / Machine-Learning-with-Spark
  Create scalable machine learning applications to power a modern data-driven business using Spark
  ☆61Updated 2 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 7 years ago
• mrahtz / sanger-machine-learning-workshop
  Code for machine learning workshop given to Sanger Systems group
  ☆40Updated 9 years ago
• bensadeghi / pyspark-churn-prediction
  Churn Prediction with PySpark using MLlib and ML Packages
  ☆58Updated 9 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆53Updated 8 years ago