Giter Club home page Giter Club logo

statistical_learning_method's Introduction

统计学习方法

license process

李航博士《统计学习方法》(第2版)阅读笔记,带有部分习题解答。基于 python 3.7 实现并补充了一些模型

目录 Jupyter NoteBook HTML
1.监督学习与监督学习概论 Binder HTML
2.感知机 Binder HTML
3.k 近邻法 Binder HTML
4.朴素贝叶斯法 Binder HTML
5.决策树 Binder HTML
6.逻辑斯蒂回归和最大熵模型 Binder HTML
7.支持向量机 Binder HTML
8.Adaboost Binder HTML
--8.1 GBDT Binder HTML
--8.2 XGBoost 和 LightGBM Binder HTML
9.CRF Binder HTML
10.k 均值聚类 Binder HTML
11.潜在狄利克雷分配(LDA) Binder HTML

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.