woe
There are 26 repositories under woe topic.
ShichenXie/scorecardpy
Scorecard Development in python, 评分卡
guillermo-navas-palencia/optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
boredbird/woe
Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
ShichenXie/scorecard
Scorecard Development in R, 评分卡
Lantianzz/Scorecard-Bundle
A High-level Scorecard Modeling API | 评分卡建模尽在于此
BGR-EGHA/LSAT
Landslide Susceptibility Assessment Tools - Project Manager Suite
yanx27/Scorecard-Modeling
Use Machine learning to build scorecard model
asteanya/Aste-Grf
Official github repository for Aste Grf. Join discord server for new version and more info.
zhaoxingfeng/WOE
Weight of Evidence，基于iv值最大**求最优分箱
xxzcool/scoremodel
Credit scoring modeling toolbox based on R
kiraplenkin/woe_scoring
Monotone Weight Of Evidence Transformer and LogisticRegression model with scikit-learn API
Keris/yasc
Yet Another Score Card
l0o0/rosaceae
A python package for credit risk card.
vishalbansal-1650/Weight-Of_Evidence
Implementation of weight of evidence and Information value techniques using Python
l0o0/woe
R Package - calculate Information Value and WoE (Weight of Evidence)
ppinklesh/twitter-trends-and-analysis
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.
billyuanyao/WOECredit
woe credit
Mateko/ScoreWise
Scorecard tools
mingzuo-liew/credit-scoring-woe-iv-plugin
Plugin for auto-calculation (no-code) for Weight of Evidence & Information Value (IV) in Dataiku DSS
mztrk/Case-LeadPrediction
Lead prediction case. Used GBM, RandomForest Linear Regression on H2O package
nck00/WoEminator
Weights of Evidence (WoE) and Frequency Ratio (FR) Scripts
ShreeshaN/ML_algorithms
This repo contains algorithms for data analysis required while building DL/ML models
Ashutosh27ind/BFS_credit_default_prediction
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.