ScienceKot / kydavra
A python package for feature selection in python
☆51Updated 4 years ago
Alternatives and similar repositories for kydavra:
Users that are interested in kydavra are comparing it to the libraries listed below
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- Risk scorecard develop tool welcome to use☆17Updated 3 years ago
- ☆70Updated 3 years ago
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆37Updated 4 years ago
- Feature selector is a tool for dimensionality reduction of machine learning datasets.☆19Updated 9 months ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆250Updated 5 years ago
- scikit-learn compatible tools for building credit risk acceptance models☆97Updated 2 months ago
- A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…☆107Updated last year
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- credit risk score card develop by python(version 3.6)☆40Updated 7 years ago
- 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 last year
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆254Updated 5 years ago
- 关于评分卡的基本流程☆68Updated 5 years ago
- mtgbmcode☆171Updated 2 years ago
- Exploratory Data Analysis, Dealing with Missing Values, Data Munging, Ensembled Regression Model using Stacked Regressor, XGBoost and mic…☆22Updated 7 years ago
- risk_model☆26Updated 2 years ago
- Time Series Forecasting with LightGBM☆83Updated 2 years ago
- Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition☆31Updated 6 years ago
- Weight of Evidence,基于iv值最大思想求最优分箱☆14Updated 5 years ago
- 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
- https://www.kaggle.com/c/m5-forecasting-accuracy/overview/☆12Updated 4 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- PAKDD AutoML challenge 2nd Feature Engineering Part☆70Updated 4 years ago
- Benchmark tabular Deep Learning models against each other and other non-DL techniques☆54Updated 3 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- [译]tsfresh特征提取工具可提取的特征☆52Updated 5 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated last month
- 第三届“融360”天机智能算法挑战赛中“拒绝推断”赛题--复赛第四名的代码分享☆11Updated 5 years ago
- 对数据框中的某个变量进行有监督的分箱操作☆64Updated 4 years ago