jstephenj14 / Monotonic-WOE-Binning-AlgorithmLinks
Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard models (pip install monotonic-binning)
☆117Updated 3 years ago
Alternatives and similar repositories for Monotonic-WOE-Binning-Algorithm
Users that are interested in Monotonic-WOE-Binning-Algorithm are comparing it to the libraries listed below
Sorting:
- ☆136Updated 7 years ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆256Updated 6 years ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- ☆50Updated 7 years ago
- ☆60Updated 6 years ago
- scikit-learn compatible tools for building credit risk acceptance models☆104Updated 9 months ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆326Updated 5 years ago
- Uplift modeling package.☆376Updated 3 years ago
- ☆34Updated 7 years ago
- Score card model for Credit Scoring System.☆119Updated 6 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 7 years ago
- This package gives you the opportunity to use a Target mean Encoding.☆15Updated 4 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 7 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆256Updated 6 years ago
- Automated feature engineering in Python with Featuretools☆520Updated 6 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆64Updated 2 years ago
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated 2 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- 2nd Place Solution 💰🥈☆163Updated 2 years ago
- A tour through recommendation algorithms in python [IN PROGRESS]☆177Updated 11 months ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆331Updated last year
- Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…☆73Updated 2 years ago
- Multi Channel Attribution☆10Updated 8 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- Kaggle home credit default risk competition☆60Updated 7 years ago
- A fast xgboost feature selection algorithm☆228Updated 4 years ago
- Demand Forecasting Models for Kaggle competition☆86Updated 7 years ago