dalpozz / AMLFDLinks
Adaptive Machine Learning for Credit Card Fraud Detection
☆37Updated 7 years ago
Alternatives and similar repositories for AMLFD
Users that are interested in AMLFD are comparing it to the libraries listed below
Sorting:
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- Some work on Kaggle data for fun☆64Updated 7 years ago
- This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.☆141Updated 7 years ago
- Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development☆60Updated 4 years ago
- Petit example of credit scoring analysis☆135Updated 13 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- a big loop that runs through all sklearn supervised models, as well as hyperparameter-selection via cross-validation☆36Updated 8 years ago
- Modeling Techniques in Predictive Analytics with Python and R☆68Updated 9 years ago
- A Credit Risk Scoring Modeling and Validation Package☆67Updated 6 years ago
- Demand Forecasting Models for Kaggle competition☆83Updated 6 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆11Updated 7 years ago
- Data Analytics, Statistics, Visualization (R / Python)☆93Updated 8 years ago
- ☆97Updated 7 years ago
- An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes☆140Updated 8 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- Analysis of credit card fraud data☆66Updated 2 years ago
- kaggle-AMS 2013-14 Solar Energy☆24Updated 11 years ago
- Predict whether or not a patient will show up to their next appointment using automated feature engineering☆28Updated 4 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆42Updated 4 years ago
- helpful resources for (big) data science☆33Updated 3 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- How to predict credit defaulting?☆93Updated 5 years ago
- 2nd Place Solution of the Kaggle Competition - Santander Product Recommendation☆176Updated 3 years ago
- An R package that makes xgboost models fully interpretable☆255Updated 7 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 5 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆239Updated last month
- Python client library for the Openscoring REST web service☆32Updated 3 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 6 years ago
- Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series☆68Updated 7 years ago
- Sample techniques for a variety of feature extraction methods☆31Updated 4 years ago