There are 1 repository under woe topic.
Scorecard Development in python, 评分卡
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
Scorecard Development in R, 评分卡
A High-level Scorecard Modeling API | 评分卡建模尽在于此
Use Machine learning to build scorecard model
Credit scoring modeling toolbox based on R
Monotone Weight Of Evidence Transformer and LogisticRegression model with scikit-learn API
Implementation of weight of evidence and Information value techniques using Python
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.
Plugin for auto-calculation (no-code) for Weight of Evidence & Information Value (IV) in Dataiku DSS
Lead prediction case. Used GBM, RandomForest Linear Regression on H2O package
Weights of Evidence (WoE) and Frequency Ratio (FR) Scripts
This repo contains algorithms for data analysis required while building DL/ML models
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.