duxuhao / Feature-SelectionLinks
Features selector based on the self selected-algorithm, loss function and validation method
☆681Updated 6 years ago
Alternatives and similar repositories for Feature-Selection
Users that are interested in Feature-Selection are comparing it to the libraries listed below
Sorting:
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆256Updated 5 years ago
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆256Updated 5 years ago
- Automated feature engineering in Python with Featuretools☆520Updated 6 years ago
- Tutorial how to use xgboost☆187Updated 9 years ago
- Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest☆370Updated 7 years ago
- 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting☆260Updated 7 years ago
- Stacked Generalization (Ensemble Learning)☆226Updated 7 years ago
- Github开源项目hyperopt系列的中文文档,以及学习教程等☆163Updated 5 years ago
- ☆192Updated 7 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆330Updated last year
- 机器学习算法的实现和应用☆73Updated 7 years ago
- a python code of applying GBDT+LR for CTR prediction☆337Updated 7 years ago
- ijcai-2018 top1 solution☆437Updated 7 years ago
- (AAAI' 20) A Python Toolbox for Machine Learning Model Combination☆657Updated 2 years ago
- Kaggle | Web Traffic Forecasting 📈☆664Updated 7 years ago
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆660Updated last year
- Feature exploration for supervised learning☆762Updated 4 years ago
- 国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)☆87Updated 7 years ago
- 马上AI全球挑战者大赛 rank 1st☆256Updated 7 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 5 years ago
- TalkingData AdTracking Fraud Detection Challenge☆104Updated 7 years ago
- This's the tool for CTR, including FM, FFM, NFFM and so on.☆319Updated 6 years ago
- Examples of how to do feature engineering and Xgboost parameter tuning☆48Updated 9 years ago
- mtgbmcode☆175Updated 3 years ago
- ChiMerge: Discretization of Numeric Attributes☆41Updated 9 years ago
- [译]tsfresh特征提取工具可提取 的特征☆97Updated 6 years ago
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆638Updated 2 years ago
- Top 6 - Code for JData-2018☆81Updated 7 years ago
- Transfer learning algorithm TrAdaboost,coded by python☆125Updated 2 years ago
- 2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction☆155Updated 6 years ago