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

• 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
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 6 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆53Updated 8 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆62Updated 3 years ago
• KunalArora / kaggle-m5-forecasting
  Time-Series forecasting using Stats models, LightGBM & LSTM
  ☆38Updated 5 years ago
• PacktPublishing / Ensemble-Machine-Learning
  Code repository for Ensemble Machine Learning, published by Packt
  ☆51Updated 4 years ago
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆89Updated 6 years ago
• kjc6723 / deep-learning-and-Financial-risk-control
  ☆49Updated 5 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).
  ☆23Updated 4 years ago
• 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
• yazanobeidi / fraud-detection
  Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
  ☆105Updated 2 years ago
• nishant1005 / Credit-Risk-Modeling-using-Machine-Learning
  A study and comparison of Risk Modeling algorithms (Capstone Project)
  ☆35Updated 7 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…
  ☆76Updated 5 years ago
• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• ROHANNAIK / Sales-Prediction
  In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…
  ☆111Updated 7 years ago
• dachosen1 / Feature-Engineering-for-Fraud-Detection
  Implementation of feature engineering from Feature engineering strategies for credit card fraud
  ☆41Updated 4 years ago
• AvinashSingh786 / Fraud-Analysis
  Insurance fraud claims analysis project
  ☆54Updated last year
• sharmaroshan / SECOM-Detecting-Defected-Items
  Anamoly Detection for Detecting Defected Manufactured Semi-Conductors, as in this case of Classification, the Defected Chips would be ve…
  ☆26Updated 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 8 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆36Updated 8 years ago
• jalajthanaki / credit-risk-modelling
  Credit Risk analysis by using Python and ML
  ☆165Updated 7 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…
  ☆63Updated 4 years ago
• LevinJ / Supply-demand-forecasting
  supply demmand gap prediction for ride-hailing
  ☆76Updated 7 years ago
• akshaykumarvikram / kaggle-advanced-regression-algos
  Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and mic…
  ☆22Updated 7 years ago
• FelixChop / MediumArticles
  Sample of Python codes from mathematical problems
  ☆110Updated 6 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 4 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆25Updated 8 months ago
• Mohamed-94 / SalesPrediction_For_SupplyChain
  Sales forecasting for the supply chain industry.
  ☆11Updated 4 years ago
• amunategui / CVAE-Financial-Anomaly-Detection
  ☆24Updated 7 years ago