Alternatives and similar repositories for varclushi:

Users that are interested in varclushi are comparing it to the libraries listed below

• Sundar0989 / WOE-and-IV
  ☆137Updated 6 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆136Updated last year
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆94Updated last week
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 2 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• 360digitech / GBST
  GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost
  ☆37Updated 4 years ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆464Updated 3 months ago
• pourya-ir / Medium
  ☆49Updated 5 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated last year
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• js-aguiar / home-credit-default-competition
  Gradient boosting model for predicting credit default risk on Kaggle competition
  ☆16Updated 4 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆63Updated last year
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆68Updated 4 years ago
• ing-bank / probatus
  Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.
  ☆133Updated last week
• Densur / PyWoE
  ☆59Updated 5 years ago
• benmiroglio / pymatch
  ☆280Updated last year
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆256Updated 5 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆82Updated 2 years ago
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆600Updated last year
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆26Updated 2 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆344Updated last year
• takechanman1228 / Effective-Uplift-Modeling
  ☆20Updated 7 months ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated last year
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆248Updated 5 years ago
• ScienceKot / kydavra
  A python package for feature selection in python
  ☆51Updated 3 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆74Updated last year
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago