Alternatives and similar repositories for Feature-Selection:

Users that are interested in Feature-Selection are comparing it to the libraries listed below

• lytforgood / MachineLearningTrick
  Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest
  ☆369Updated 7 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
  ☆249Updated 5 years ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆367Updated 2 years ago
• plantsgo / ijcai-2018
  ijcai-2018 top1 solution
  ☆437Updated 6 years ago
• neal668 / LightGBM-GBDT-LR
  a python code of applying GBDT+LR for CTR prediction
  ☆331Updated 6 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆223Updated 7 years ago
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆255Updated 5 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆515Updated 6 years ago
• luoda888 / tianchi-diabetes-top12
  ☆192Updated 7 years ago
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆181Updated 8 years ago
• dialnd / imbalanced-algorithms
  Python-based implementations of algorithms for learning on imbalanced data.
  ☆238Updated 3 years ago
• guoday / ctrNet-tool
  This's the tool for CTR, including FM, FFM, NFFM and so on.
  ☆318Updated 6 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆317Updated last year
• TianFengshou / hyperopt-doc-zh
  Github开源项目hyperopt系列的中文文档,以及学习教程等
  ☆163Updated 5 years ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆624Updated last year
• wanglei5205 / Machine_learning
  机器学习算法的实现和应用
  ☆74Updated 6 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• sjvasquez / web-traffic-forecasting
  Kaggle | Web Traffic Forecasting 📈
  ☆666Updated 7 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆691Updated 7 months ago
• wepe / tgboost
  Tiny Gradient Boosting Tree
  ☆321Updated 5 years ago
• motefly / DeepGBM
  SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
  ☆648Updated 7 months ago
• CuteChibiko / TalkingData
  TalkingData AdTracking Fraud Detection Challenge
  ☆104Updated 6 years ago
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆254Updated 7 years ago
• drop-out / RNN-Active-User-Forecast
  1st place solution for the Kuaishou Active-user Forecast competition
  ☆191Updated 6 years ago
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆649Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆852Updated last year
• luoda888 / 2018-IJCAI-top3
  This 2018 IJCAI alimama Top3 Code
  ☆293Updated 6 years ago
• xiaozhouwang / kaggle-porto-seguro
  2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction
  ☆156Updated 5 years ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆46Updated 8 years ago
• duxuhao / JData-2018
  Top 6 - Code for JData-2018
  ☆81Updated 6 years ago