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advanced-algorithm-combing's Introduction

Advanced-algorithm-combing

课程设计:黑桃,刘广月,于鸿飞

组队学习说明:通过查阅相关文献,对机器学习算法进行梳理

任务路线:RF--->GBDT--->XGB--->LightGBM

组队学习周期:10天

定位人群:有概率论、矩阵运算、求导、泰勒展开等基础数学知识;

难度系数:中

每个任务完成大概所需时间:2-3h

任务预览(2天)

  1. 集成学习概念
  2. 个体学习器概念
  3. boosting bagging
  4. 结合策略(平均法,投票法,学习法)
  5. 随机森林**
  6. 随机森林的推广
  7. 优缺点
  8. sklearn参数
  9. 应用场景

任务分配

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