Alternatives and similar repositories for Monotonic-Optimal-Binning

Users that are interested in Monotonic-Optimal-Binning are comparing it to the libraries listed below

• jingmin1987 / variable-clustering
  A re-creation of SAS varclus procedure in Python
  ☆23Updated 6 years ago
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆36Updated last year
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆100Updated 4 months ago
• DeepWisdom / AutoSeries2019
  ☆18Updated 5 years ago
• hankkuang / creditRiskCScoreCard
  credit risk score card develop by python(version 3.6)
  ☆40Updated 7 years ago
• kozodoi / Fair_Credit_Scoring
  Fair ML in credit scoring: Assessment, implementation and profit implications
  ☆38Updated 3 years ago
• itlubber / LogisticRegressionPipeline
  分别基于statsmodels和scikit-learn实现两种可用于sklearn pipeline的 LogisticRegression，并输出相应的报告
  ☆20Updated 2 years ago
• open-risk / openLGD
  openLGD is a Python powered library for the statistical estimation of Credit Risk Loss Given Default models. It can be used both as stan…
  ☆23Updated 8 months ago
• guillermo-navas-palencia / clogistic
  Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.
  ☆33Updated 2 years ago
• KunalArora / kaggle-m5-forecasting
  Time-Series forecasting using Stats models, LightGBM & LSTM
  ☆38Updated 5 years ago
• ICBC-123 / scorecard
  This is the behavior scorecard, which includes three modules, including data processing, establishment of score card and effect evaluatio…
  ☆19Updated 6 years ago
• maidoudoujiushiwo / risk_model
  risk_model
  ☆26Updated 3 years ago
• deburky / boosting-scorecards
  Boosting scorecards
  ☆14Updated 3 weeks ago
• vcerqueira / blog
  ☆20Updated last year
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• mounalab / Temporal-fusion-transformer_Pytorch-Forecasting
  Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting l…
  ☆18Updated 2 years ago
• sujikathir / Intermittent-demand-forecasting
  Predicting the Sales using Time-series forecasting for month-wise data.
  ☆20Updated 4 years ago
• Liam-E2 / RotationForest
  A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.
  ☆20Updated 5 years ago
• ITMO-NSS-team / fedot_electro_ts_case
  The sources of the time-series forecasting real-world case with FEDOT.
  ☆18Updated 2 years ago
• kirrlix1994 / Retail_hero
  Reatail-hero X5 contest
  ☆13Updated last year
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 2 years ago
• lovvge / Forecasting-Tutorials
  ☆23Updated 3 years ago
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 8 years ago
• elephaint / hfas
  Hierarchical Forecasting at Scale
  ☆13Updated last year
• hsz1273327 / ScoreCardModel
  Score card model for Credit Scoring System.
  ☆117Updated 6 years ago
• ScienceKot / kydavra
  A python package for feature selection in python
  ☆51Updated 4 years ago
• sujaytalesara / Predictive-Analytics
  Building an PD, LGD and EAD Model for Financial Modeling.
  ☆14Updated last year
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆10Updated last year