Alternatives and similar repositories for Credit-Scoring-Data-Sets:

Users that are interested in Credit-Scoring-Data-Sets are comparing it to the libraries listed below

• 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
• finlytics-hub / credit_risk_model
  A comprehensive credit risk model and scorecard using data from Lending Club
  ☆138Updated 3 years ago
• IBM / xgboost-smote-detect-fraud
  Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…
  ☆64Updated 4 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• YousefGh / kmeans-feature-importance
  Adding feature_importances_ property to sklearn.cluster.KMeans class
  ☆64Updated last year
• Sundar0989 / WOE-and-IV
  ☆137Updated 6 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆134Updated last year
• codyznash / GANs_for_Credit_Card_Data
  ☆105Updated last year
• jimmycy93 / Credit-Card-Fraud-Detection
  A project on machine learning techniques dealing with imbalanced classification (Python)
  ☆11Updated 7 years ago
• rakshithvasudev / Home-Credit-Default-Risk
  Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)
  ☆11Updated 2 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆167Updated 2 months ago
• ryancheunggit / tabular_dae
  ☆49Updated 2 years ago
• jalajthanaki / credit-risk-modelling
  Credit Risk analysis by using Python and ML
  ☆152Updated 7 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆273Updated last year
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆87Updated 5 years ago
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆85Updated 3 weeks ago
• mloning / intro-to-ml-with-time-series-DSSGx-2020
  Python tutorial on machine learning with time series for DSSGx 2020
  ☆23Updated 4 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆81Updated 6 years ago
• estripling / proflogit
  ProfLogit: Profit maximizing logit model for churn prediction
  ☆17Updated 2 years ago
• yihengsun / TransBoost
  TransBoost algorithm for transfer learning
  ☆34Updated 2 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated last year
• djbolder / credit-risk-modelling
  Credit-Risk Modelling Libraries
  ☆114Updated 6 years ago
• justinengelmann / GANbasedOversampling
  ☆62Updated 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
  ☆247Updated 5 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆108Updated 5 years ago
• PacktPublishing / Forecasting-Time-Series-Data-with-Facebook-Prophet
  Forecasting Time-Series Data with Facebook Prophet, published by Packt
  ☆102Updated 2 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆107Updated 10 months ago
• Yimeng-Zhang / Rule_Extraction_from_Trees
  A toolkit for extracting comprehensible rules from tree-based algorithms
  ☆42Updated 6 years ago
• pourya-ir / Medium
  ☆49Updated 5 years ago