Alternatives and similar repositories for Fraud-Analysis

Users that are interested in Fraud-Analysis are comparing it to the libraries listed below

• 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.
  ☆47Updated 7 years ago
• MayukhSobo / EnronFraud
  Fraud Detection by finding the Person of Interest (POI)
  ☆23Updated 8 years ago
• blurred-machine / Sales-and-Marketing-Analytics
  This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…
  ☆75Updated 5 years ago
• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆104Updated 2 years ago
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆90Updated 2 years ago
• llSourcell / AI_Supply_Chain
  This is the code for "AI for Supply Chain" by Siraj Raval on Youtube
  ☆156Updated 6 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 2 years ago
• indranildchandra / Money-Laundering-Detector
  Money Laundering Detector is to prove the hypothesis that a solution powered by Machine Learning and Behaviour Analytics will find… -> cu…
  ☆22Updated 7 years ago
• IBM / predict-fraud-using-auto-ai
  Use AutoAI to detect fraud
  ☆33Updated 2 years ago
• abaranovskis-redsamurai / automation-repo
  Machine learning and process automation
  ☆137Updated 2 years ago
• harishpuvvada / LoanDefault-Prediction
  Lending Club Loan data analysis
  ☆166Updated 6 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆32Updated 5 years ago
• tinkerdeep / invent-prediction
  Model to accurately forecast inventory demand based on historical sales data.
  ☆63Updated 9 years ago
• jalajthanaki / Customer_segmentation
  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …
  ☆135Updated 7 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆52Updated 8 years ago
• georgymh / ml-fraud-detection
  Credit card fraud detection through logistic regression, k-means, and deep learning.
  ☆244Updated 7 years ago
• datacamp / Market-Basket-Analysis-in-python-live-training
  Live Training: Market Basket Analysis in Python
  ☆47Updated 4 years ago
• abhishek-ch / streamlit-healthcare-ML-App
  Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!
  ☆32Updated 4 years ago
• IBM / telco-customer-churn-on-icp4d
  Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data
  ☆68Updated 5 years ago
• Prakhar-FF13 / Customer-Analytics
  Machine Learning Case study on customer segmentation and prediction of groups.
  ☆31Updated 7 years ago
• gastonstat / CreditScoring
  Petit example of credit scoring analysis
  ☆135Updated 13 years ago
• jalajthanaki / Awesome_Machine_Learning_Solutions
  A curated list of repositories for my book Machine Learning Solutions.
  ☆79Updated 7 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 6 years ago
• max-fitzpatrick / Credit-scoring-model
  Credit scoring machine learning algorithm which predicts probability of default
  ☆81Updated 7 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆30Updated 8 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆37Updated 6 years ago
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 4 years ago
• am-aditya / Artificial-Intelligence-for-Banking
  This project contains codes and notebooks related to various use cases for banking.
  ☆91Updated 6 years ago
• dchannah / fraudhacker
  Anomaly detection system for medical insurance claims data
  ☆16Updated 7 years ago