A curated list of data mining papers about fraud detection.

Open solution to the Home Credit Default Risk challenge 🏡

Scorecard Development in python, 评分卡

Tools for WoE Transformation mostly used in ScoreCard Model for credit rating

Scorecard Development in R, 评分卡

国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning

Amazon SageMaker Solution for explaining credit decisions.

Implementation of Genetic Algorithm for feature selection of neural networks proposed by Genetic algorithm-based heuristic for feature selection in credit risk assessment paper.

Invoice management on the Blockchain (Ethereum)

Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.

Credit scoring modeling toolbox based on R

天池大数据竞赛 千里马大赛 风险识别与预测赛题 Top5

Predicting the default customers

Analytics labs notebooks for Business School students

"scorecal - Empirical score calibration under the microscope" presentation given at Credit Scoring & Credit Control XVI, Edinburgh, UK, 2019-08-30

Project which will predict credit default or credit risk using artificial neural network algorithms. It will help banks and financial institutions to assign a credit score to the customer profile/portfolio and make a decision whether to sanction a loan or not

A short course on survival analysis applied to the financial industry

REST-API for credit scoring with random forest classifier

creditmodel, 模型，评分卡，scorecard, vintage, automatic modeling

R package for Automatic Scoring Modeling.

openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as standalone library and in a federated learning context where data remain in distinct (separate) servers

Decentralized AI-powered Banking-CRA solution

Example of risk model implemented in Python and R

Using DNN/LSTM/1D-CNN to analyze a credit default problem

[WIP] Unofficial Python wrapper around the JengaAPIs that are pre-integrated into the financial, identity, credit and payment systems across Africa.