数据挖掘博客收集

1.Distance correlation（距离相关系数）

https://blog.csdn.net/jiaoaodechunlv/article/details/80655592

2.Python sklearn.feature_selection.chi2() Examples

https://www.programcreek.com/python/example/81276/sklearn.feature_selection.chi2

3.Scikit-learn介绍几种常用的特征选择方法(干货)

https://blog.csdn.net/woaidapaopao/article/details/62461380

4.Tree ensemble算法的特征重要度计算

https://blog.csdn.net/yangxudong/article/details/53899260

5.GBDT+LR特征融合的例子

https://blog.csdn.net/levy_cui/article/details/77168709

6.【机器学习】GBDT+LR算法进行特征扩增

https://blog.csdn.net/TwT520Ly/article/details/79769705

7.Feature transformations with ensembles of trees

http://scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html#example-ensemble-plot-feature-transformation-py

8.机器学习：sklearn tree models、XGBoost、LightGBM细节原理对比阐述

http://izhaoyi.top/2017/09/23/sklearn-xgboost/#bagging

https://www.jianshu.com/p/fe321e478cb4