Scorecard Development in python, 评分卡

• UpdatedAug 9, 2024
• Python

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

• UpdatedOct 28, 2025
• Python

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

• UpdatedOct 29, 2019
• Python

Scorecard Development in R, 评分卡

• UpdatedAug 20, 2025
• R

• UpdatedNov 26, 2018
• Jupyter Notebook

A High-level Scorecard Modeling API | 评分卡建模尽在于此

• UpdatedOct 10, 2022
• Python

Landslide Susceptibility Assessment Tools - Project Manager Suite

• UpdatedSep 29, 2025
• Python

Use Machine learning to build scorecard model

• UpdatedSep 1, 2018
• Python

Official github repository for Aste Grf. Join discord server for new version and more info.

• UpdatedApr 16, 2024

Weight of Evidence，基于iv值最大思想求最优分箱

• UpdatedOct 24, 2019
• Python

数据分析

• UpdatedFeb 28, 2017
• Python

Monotone Weight Of Evidence Transformer and LogisticRegression model with scikit-learn API

• UpdatedJun 18, 2025
• Python

Credit scoring modeling toolbox based on R

• UpdatedOct 18, 2018
• R

A python package for credit risk card.

• UpdatedMay 21, 2019
• Python

Yet Another Score Card

• UpdatedMay 28, 2020
• Python

Implementation of weight of evidence and Information value techniques using Python

• UpdatedJul 7, 2020
• Jupyter Notebook

This project is using tweepy Twitter API. In this, we can get tweets trends of the country or any specific location, 100 or more tweets of the specific hashtag and sentiment analysis of specific hashtag tweets.

• UpdatedFeb 18, 2021
• Python

In this project, task is to help banking organization to identify the right customers using predictive models. Using past data of the bank’s applicants, you need to determine the factors affecting credit risk, create strategies to mitigate the acquisition risk and assess the financial benefit of the project.

• UpdatedMay 8, 2023
• Jupyter Notebook

• UpdatedJan 18, 2013
• JavaScript

Classification models to predict 2-year serious delinquency risk using raw and WOE-transformed datasets with logistic regression and machine learning techniques.

• UpdatedJul 17, 2025
• Jupyter Notebook