ing-bank / skorecardLinks
scikit-learn compatible tools for building credit risk acceptance models
☆105Updated 10 months ago
Alternatives and similar repositories for skorecard
Users that are interested in skorecard are comparing it to the libraries listed below
Sorting:
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆504Updated last month
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 3 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆154Updated 7 months ago
- Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.☆33Updated 2 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆327Updated 2 years ago
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 4 years ago
- ☆136Updated 7 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- A python package for time series forecasting with scikit-learn estimators.☆163Updated last year
- A power-full Shapley feature selection method.☆211Updated 2 months ago
- A re-creation of SAS varclus procedure in Python☆23Updated 7 years ago
- A Python package for variable clustering☆51Updated 4 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 9 months ago
- Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into explainable scorecards☆28Updated this week
- Feature engineering package with sklearn like functionality☆56Updated last year
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 7 months ago
- Phi_K correlation analyzer library☆169Updated 2 weeks ago
- Developmental tools to detect data drift☆18Updated last year
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆544Updated 10 months ago
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆250Updated 5 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆534Updated 8 months ago