Alternatives and similar repositories for varclushi

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

• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆486Updated last month
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆141Updated last year
• 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
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆351Updated 2 years ago
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆101Updated 5 months ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• benmiroglio / pymatch
  ☆290Updated 2 years ago
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆253Updated 5 years ago
• smazzanti / tds_black_box_models_more_explainable
  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
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆255Updated 5 years ago
• manifoldai / mf-eng-public
  ☆50Updated 6 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆141Updated 2 years ago
• pourya-ir / Medium
  ☆49Updated 5 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆374Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆291Updated last year
• jeremite / channel-attribution-model
  An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…
  ☆32Updated 4 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆522Updated 4 months ago
• jrkinley / game-theory-attribution
  Data-Driven Marketing Attribution
  ☆33Updated 4 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆151Updated 3 months ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆414Updated last year
• orchardbirds / bokbokbok
  Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
  ☆38Updated last week
• ianchute / shapley-attribution-model-zhao-naive
  A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.
  ☆41Updated 5 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆327Updated last year
• ScienceKot / kydavra
  A python package for feature selection in python
  ☆51Updated 4 years ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆578Updated last year