Alternatives and similar repositories for Fraud-Analysis

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

• sharmaroshan / Insurance-Claim-Prediction
  In this Data set we are Predicting the Insurance Claim by each user, Machine Learning algorithms for Regression analysis are used and Dat…
  ☆39Updated 6 years ago
• MayukhSobo / EnronFraud
  Fraud Detection by finding the Person of Interest (POI)
  ☆23Updated 8 years ago
• IBM / predict-fraud-using-auto-ai
  Use AutoAI to detect fraud
  ☆33Updated 2 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 2 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…
  ☆78Updated 5 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆106Updated 2 years ago
• sharmaroshan / Data-Visualizations
  Data Visualizations is emerging as one of the most essential skills in almost all of the IT and Non IT Background Sectors and Jobs. Using…
  ☆65Updated 5 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.
  ☆48Updated 7 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
• Prakhar-FF13 / Customer-Analytics
  Machine Learning Case study on customer segmentation and prediction of groups.
  ☆31Updated 7 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 4 years ago
• abaranovskis-redsamurai / automation-repo
  Machine learning and process automation
  ☆138Updated 2 years ago
• abhishek-ch / streamlit-healthcare-ML-App
  Streamlit example showing Scikit Learn & Pyspark ML over Healthcare data ! Its simple !!
  ☆32Updated 4 years ago
• jeremyjordan / customer-segmentation
  An example of clustering applied to finding customer segments.
  ☆20Updated 8 years ago
• harishpuvvada / LoanDefault-Prediction
  Lending Club Loan data analysis
  ☆167Updated 6 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆19Updated 8 years ago
• llSourcell / AI_Supply_Chain
  This is the code for "AI for Supply Chain" by Siraj Raval on Youtube
  ☆157Updated 6 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 8 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 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
• nishant1005 / Credit-Risk-Modeling-using-Machine-Learning
  A study and comparison of Risk Modeling algorithms (Capstone Project)
  ☆36Updated 7 years ago
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆147Updated 4 years ago
• PacktPublishing / Building-Recommendation-Systems-with-Python
  Building Recommendation Systems with Python [Video], by Packt Publishing
  ☆90Updated 2 years ago
• max-fitzpatrick / Credit-scoring-model
  Credit scoring machine learning algorithm which predicts probability of default
  ☆83Updated 7 years ago
• Dataweekends / exploratory_data_analysis
  Few tutorials on pandas, matplotlib and seaborn
  ☆27Updated 9 years ago
• georgymh / ml-fraud-detection
  Credit card fraud detection through logistic regression, k-means, and deep learning.
  ☆257Updated 7 years ago
• Sardhendu / Data-Science-Projects
  {PySpark, R, Python}: Several Data Science projects
  ☆16Updated 7 years ago
• cloudxlab / bigdata
  This repository hosts the code/projects/demos/slides for Big Data technologies under Apache Hadoop and Apache Spark umbrella.
  ☆42Updated 3 years ago
• LiXiling / ml_insurancePred
  Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project
  ☆16Updated 8 years ago