Alternatives and similar repositories for PyWoE:

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

• patrick201 / information_value
  ☆101Updated 8 years ago
• 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
• psarka / uplift
  ☆34Updated 6 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• alno / kaggle-allstate-claims-severity
  2nd place solution for Allstate Claims Severity competition at Kaggle
  ☆131Updated 8 years ago
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆256Updated 5 years ago
• palevas / santander-product-recommendation-8th-place
  ☆46Updated 8 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆94Updated 5 years ago
• diefimov / santander_2016
  The 3rd place solution for Santander Customer Satisfaction competition
  ☆122Updated 8 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆426Updated 7 years ago
• ttvand / Santander-Product-Recommendation
  2nd Place Solution of the Kaggle Competition - Santander Product Recommendation
  ☆174Updated 2 years ago
• gameofdimension / xgboost_explainer
  A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer
  ☆42Updated 7 years ago
• freedomljc / Loan_Default_Prediction
  This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"
  ☆62Updated 10 years ago
• abhishekkrthakur / greedyFeatureSelection
  greedy feature selection based on ROC AUC
  ☆125Updated 10 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 8 years ago
• XiaoxiaoWang87 / xgboost_mono_test
  ☆13Updated 8 years ago
• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• gatapia / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆183Updated last year
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆30Updated 6 years ago
• dask / dask-xgboost
  ☆162Updated 3 years ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆301Updated 6 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• Far0n / kaggle-homesite
  Top15 Model for Kaggle-Competition "Homesite Quote Conversion"
  ☆46Updated 8 years ago
• xiaozhouwang / kaggle-porto-seguro
  2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
  ☆156Updated 5 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆498Updated 7 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆153Updated 6 years ago
• Danila89 / kaggle_mercedes
  The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle
  ☆53Updated 7 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated last year
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆220Updated 3 years ago