apachecn / xgboost-doc-zhLinks
XGBoost 中文文档
☆575Updated 2 years ago
Alternatives and similar repositories for xgboost-doc-zh
Users that are interested in xgboost-doc-zh are comparing it to the libraries listed below
Sorting:
- LightGBM 中文文档☆760Updated 2 years ago
- python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification ar…☆736Updated 6 years ago
- 用户贷款风险预测☆575Updated 7 years ago
- 2018腾讯广告算法大赛baseline 线上0.73☆590Updated 7 years ago
- Python-Machine-Learning-Algorithm☆393Updated 6 years ago
- 数据挖掘入门介绍☆297Updated 7 years ago
- 教材对应的源码☆323Updated 6 years ago
- 复赛第二名单模型方案,没有特征选择没有调参LGB单模型857个特征☆690Updated 7 years ago
- Describe past Kaggle solutions☆371Updated 6 years ago
- 马上AI全球挑战者大赛 rank 1st☆255Updated 6 years ago
- 2019腾讯广告算法大赛完整代码(冠军)☆626Updated 5 years ago
- Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest☆370Updated 7 years ago
- 2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名-【多分类,embedding】☆340Updated 6 years ago
- the data and ipython notebook of my attempt to solve the kaggle titanic problem☆413Updated 9 years ago
- The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.☆709Updated 4 years ago
- 这是BDCI2018的联通赛题第一名解决方案☆300Updated 6 years ago
- 1st Place Solution for O2O Coupon Usage Forecast☆1,406Updated 7 years ago
- 3rd Place Solution for PPD Risk Control Competition☆343Updated 8 years ago
- 此项目是我在学习《机器学习实战》这本书时的代码记录情况,用python实现,当然也会包括一些其他的机器学习算法,使用Python实现☆702Updated 6 years ago
- 这是一个完整的,端到端的机器学习项目,非常适合有一定基础后拿来练习,以提高对完整机器学习项目的认识☆391Updated 6 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
- 公众号: 机器学习荐货情报局 所有代码☆551Updated 6 years ago
- 1st Place Solution for DataCastle-CashBus Competition☆216Updated 9 years ago
- Pure Python implementation of machine learning algorithms☆445Updated 3 years ago
- ☆204Updated 8 years ago
- A simple GBDT in Python☆357Updated 7 years ago
- Sample code and picture of my blog or project☆138Updated 3 years ago
- A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!☆671Updated 4 years ago
- Summary of getting a silver medal in kaggle☆150Updated 7 years ago
- ijcai-2018 top1 solution☆437Updated 7 years ago