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URL: https://github.com/topics/credit-scoring

⇱ credit-scoring · GitHub Topics · GitHub

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credit-scoring

Here are 274 public repositories matching this topic...

👁 awesome-fraud-detection-papers

benedekrozemberczki / awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

classifier data-science data-mining deep-learning random-forest credit-card-fraud classification fraud-management logistic-regression fraud-prevention credit-scoring churn link-prediction fraud-detection gradient-boosting fraud-checker graph-classification credit-card-validation credit-card-fraud-detection fraud-explorer

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Python

ShichenXie / scorecardpy

Scorecard Development in python, 评分卡

python release binning credit-scoring scorecard woe woebinning

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Python

guillermo-navas-palencia / optbinning

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

python stream optimization binning batch-processing credit-scoring scorecard streaming-data woe woebinning counterfactual-explanations mdlp

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Python

amphibian-dev / toad

ESC Team's credit scorecard tools.

python3 data-analysis financial-analysis credit-scoring scorecard credit-risk toad

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Python

minerva-ml / open-solution-home-credit

Open solution to the Home Credit Default Risk challenge 🏡

python competition open-source machine-learning deep-learning pipeline neptune pipeline-framework python3 kaggle xgboost lightgbm feature-engineering reproducibility python35 credit-scoring reproducible-experiments credit-risk

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Python

boredbird / woe

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

machine-learning credit-scoring iv scorecard woe

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Python

ShichenXie / scorecard

Scorecard Development in R, 评分卡

r release binning credit-scoring scorecard woe woebinning

Updated
R

mourarthur / awesome-credit-modeling

A collection of awesome papers, articles and various resources on credit and credit risk modeling

awesome awesome-list credit-scoring sample-selection financial-machine-learning reject-inference credit-modeling

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awslabs / sagemaker-explaining-credit-decisions

Amazon SageMaker Solution for explaining credit decisions.

machinelearning financial-analysis credit-scoring explainable-ai explainable-ml sagemaker loan-prediction-analysis shapley explainability aws-sagemaker

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Python

yzkang / QH_FInSight

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)

machine-learning kaggle-competition transfer-learning credit-scoring tju-solutions tradaboost credit-risk-assessment kesci-competition

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Python

open-risk / transitionMatrix

Statistical analysis and visualization of state transition phenomena

python markov-chain state-space credit-scoring hacktoberfest transition-matrix credit-risk rating-migration credit-rating

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Python

avannaldas / Loan-Defaulter-Prediction-Machine-Learning

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

python machine-learning bank ml python3 xgboost hackerearth loan risk-assessment credit-scoring loan-data loan-default-prediction hackerexperience

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Jupyter Notebook

xRiskLab / xBooster

Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into explainable scorecards

machine-learning credit-scoring gradient-boosting explainability credit-risk-modeling

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Python

kozodoi / Fair_Credit_Scoring

⚖️ Fair ML in credit scoring: Assessment, implementation and profit implications

benchmark credit-scoring fairness discrimination fair-ml

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Python

enesozi / Credit-Risk-Analysis

machine-learning sklearn machine-learning-algorithms python3 outlier-detection feature-engineering credit-scoring

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Jupyter Notebook

CBravoR / AdvancedAnalyticsLabs

Analytics labs notebooks for Statistics and Business School students

text-mining deep-learning keras cnn embeddings neural-networks xgboost image-classification credit-scoring revenue-management bond-pricing random-forests basel-capital-requirements

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Jupyter Notebook

erfanMhi / Genetic-algorithms-for-credit-scoring

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

python keras genetic-algorithms credit-scoring

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Jupyter Notebook

open-risk / openLGD

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

credit-scoring python-framework decentralized-application federated-learning credit-risk-loss

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Python

RegaipKURT / Credit-Risk-Modelling

learning data-science machine-learning risk machine modelling credit-scoring credit risk-modelling credit-risk

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Jupyter Notebook

Niranjankumar-c / CreditRiskAnalytics

Predicting the default customers

machine-learning jupyter-notebook logistic-regression python-3 credit-scoring decision-tree-classifier loan-default-prediction risk-analytics

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Jupyter Notebook

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