Freemanzxp / GBDT_Simple_Tutorial
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 are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees
☆733Updated 5 years ago
Alternatives and similar repositories for GBDT_Simple_Tutorial:
Users that are interested in GBDT_Simple_Tutorial are comparing it to the libraries listed below
- 公众号: 机器学习荐货情报局 所有代码☆547Updated 5 years ago
- LightGBM 中文文档☆755Updated last year
- 深度学习相关的模型训练、评估和预测相关代码☆1,018Updated 3 years ago
- A simple GBDT in Python☆354Updated 6 years ago
- 2019腾讯广告算法大赛完整代码(冠军)☆620Updated 4 years ago
- Describe past Kaggle solutions☆372Updated 5 years ago
- The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.☆706Updated 3 years ago
- XGBoost 中文文档☆566Updated last year
- 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☆685Updated 6 years ago
- ijcai-2018 top1 solution☆437Updated 6 years ago
- a python code of applying GBDT+LR for CTR prediction☆331Updated 6 years ago
- 基础的深度学习实验研究结果汇总笔记☆505Updated last year
- 2019年CCF大数据与计算智能大赛乘用车细分市场销量预测冠军解决方案☆261Updated 5 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】☆338Updated 6 years ago
- 用python和sklearn两种方法实现李航《统计学习方法》中的算法☆338Updated 6 years ago
- CTR prediction using FM FFM and DeepFM☆749Updated 6 years ago
- The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc