scikit-learn compatible tools for building credit risk acceptance models
Monotone Weight Of Evidence Transformer and LogisticRegression model with scikit-learn API
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
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
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.
Creating a credit scoring model to manage, understand, and model credit risk that will be handled optimally.
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