Alternatives and similar repositories for Medical-Insurance-Fraud-Detection:

Users that are interested in Medical-Insurance-Fraud-Detection are comparing it to the libraries listed below

• AvinashSingh786 / Fraud-Analysis
  Insurance fraud claims analysis project
  ☆51Updated last year
• ali-ghorbani-k / Credit-Risk-Management
  A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journ…
  ☆21Updated 2 years ago
• LiXiling / ml_insurancePred
  Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project
  ☆14Updated 8 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆19Updated 8 years ago
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 5 years ago
• dchannah / fraudhacker
  Anomaly detection system for medical insurance claims data
  ☆14Updated 7 years 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 last year
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• BartoszSzablowski / Sell_Out_Sell_In_Forecasting
  Sell Out Sell In Forecasting project implemented at Nestlé
  ☆23Updated 2 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.
  ☆45Updated 6 years ago
• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• SohitKalluru / Forecasting-of-order-demand-in-warehouses-using-autoregressive-integrated-moving-average.
  Forecasting of order demand in warehouses using auto-regressive integrated moving average(ARIMA).
  ☆24Updated 4 years ago
• nishant1005 / Credit-Risk-Modeling-using-Machine-Learning
  A study and comparison of Risk Modeling algorithms (Capstone Project)
  ☆32Updated 6 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 7 years ago
• Niranjankumar-c / CreditRiskAnalytics
  Predicting the default customers
  ☆18Updated 5 years ago
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 3 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…
  ☆64Updated 4 years ago
• Mohamed-94 / SalesPrediction_For_SupplyChain
  Sales forecasting for the supply chain industry.
  ☆11Updated 3 years ago
• sujaytalesara / Predictive-Analytics
  Building an PD, LGD and EAD Model for Financial Modeling.
  ☆13Updated last year
• AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-Algorithms
  Internship project
  ☆53Updated 3 years ago
• gwr3n / inventoryanalytics
  A Python library dedicated to Inventory Analytics
  ☆21Updated last month
• 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…
  ☆21Updated 6 years ago
• erfanMhi / Genetic-algorithms-for-credit-scoring
  Implementation of Genetic Algorithm for feature selection of neural networks proposed by Genetic algorithm-based heuristic for feature se…
  ☆25Updated 6 years ago
• rakshithvasudev / Home-Credit-Default-Risk
  Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)
  ☆11Updated 2 years ago
• kozodoi / Fair_Credit_Scoring
  Fair ML in credit scoring: Assessment, implementation and profit implications
  ☆33Updated 2 years ago
• techietrader / XGBoost-on-Bankruptcy-Dataset-Imbalance-Data
  keywords - XGboost, Smote, Hyperparameter tuning, Python
  ☆12Updated 6 years ago
• ChenTaHung / Monotonic-Optimal-Binning
  Monotonic Optimal Binning algorithm is a statistical approach to transform continuous variables into optimal and monotonic categorical va…
  ☆15Updated last year
• amunategui / CVAE-Financial-Anomaly-Detection
  ☆24Updated 6 years ago
• YuehHanChen / Telco_Customer_Churn_Analysis
  Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…
  ☆10Updated 4 years ago