scikit-learn compatible tools for building credit risk acceptance models
Monotone Weight Of Evidence Transformer and LogisticRegression model with scikit-learn API
A PyQt6 GUI application for interactive credit risk analysis. Load data, select variables, perform binning, and build scorecards efficiently.
risk3r
Package for creating custom score cross tables.
Logistic Regression vs AdaBoost in ScoreCard model
Tools for creating analytic reports and testing scorecards
Project_Case study: preprocessing, modeling, model validation and maintenance in Python
The "Comprehensive Machine Learning Framework in R" is an all-inclusive toolkit for data preprocessing, WOE calculation, and model evaluation, designed for robust machine learning applications and equipped with cross-validation and extensibility features.
This repo contains a GBQ script that pulls operational performance metrics of an E-commerce platform's suppliers and ranks them against one another for benchmarking purposes
Creating a credit scoring model to manage, understand, and model credit risk that will be handled optimally.
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