Alternatives and similar repositories for Credit-Card-Fraud-Detection

Users that are interested in Credit-Card-Fraud-Detection are comparing it to the libraries listed below

• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆112Updated 7 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated 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…
  ☆63Updated 4 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆52Updated 8 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• Charlio / anti-money-laundering
  ☆1Updated 7 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 5 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆46Updated 7 years ago
• lumiata / tech_blog
  Follow the Lumiata Tech Blog on Medium!
  ☆21Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 3 years ago
• Sundar0989 / Variable-Selection-Using-Python
  ☆26Updated 5 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 5 years ago
• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆104Updated 2 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆52Updated 5 years ago
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆34Updated 6 years ago
• roman807 / Fraud-Detection
  ☆22Updated 6 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆63Updated last year
• KwokHing / YandexCatBoost-Python-Demo
  Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data explorat…
  ☆30Updated 5 years ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 6 years ago
• estripling / proflogit
  ProfLogit: Profit maximizing logit model for churn prediction
  ☆18Updated 2 years ago
• jgcorliss / lending-club
  Applying machine learning to predict loan charge-offs on LendingClub.com
  ☆42Updated 6 years ago