YoungGod / Medical-Insurance-Fraud-DetectionLinks
A competition held by Chinese society of social insurance and Aibaba Group. I individually got the ranking of 15 in the first round and 16 in the second round among 1300+ teams.
☆30Updated 7 years ago
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
Sorting:
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 8 years ago
- 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
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆47Updated 7 years ago
- Tips for Advanced Feature Engineering☆52Updated 4 years ago
- A machine learning algorithm written to predict severity of insurance claim☆20Updated 8 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆30Updated 8 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆38Updated 5 years ago
- Insurance fraud claims analysis project☆54Updated last year
- RFM (recency, frequency, monetary) analysis☆13Updated 6 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 6 years ago
- Small example on how you can detect multicollinearity☆13Updated 4 years ago
- LSTM for time series forecasting☆28Updated 7 years ago
- Watson OpenScale tutorials including sample models, notebooks and applications☆22Updated 2 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 6 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆36Updated 7 years ago
- Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet☆25Updated 7 months ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆41Updated 4 years ago
- My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms☆13Updated 5 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆35Updated 7 years ago
- ☆24Updated 6 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆33Updated 7 years ago
- Baseline Python Scripts for Popular Kaggle Competitions☆17Updated 2 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- Sales forecasting for the supply chain industry.☆11Updated 4 years ago
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆34Updated 5 years ago
- 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
- Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and tempe…☆47Updated last year
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 5 years ago
- Hands-On Ensemble Learning with Python, published by packt publishing☆55Updated 2 years ago
- Applying machine learning to predict loan charge-offs on LendingClub.com☆42Updated 7 years ago