René's URL Explorer Experiment

Title: GitHub - Gwill/Statistical-Learning-Method_Code: 手写实现李航《统计学习方法》书中全部算法 · GitHub

Open Graph Title: GitHub - Gwill/Statistical-Learning-Method_Code: 手写实现李航《统计学习方法》书中全部算法

X Title: GitHub - Gwill/Statistical-Learning-Method_Code: 手写实现李航《统计学习方法》书中全部算法

Description: 手写实现李航《统计学习方法》书中全部算法. Contribute to Gwill/Statistical-Learning-Method_Code development by creating an account on GitHub.

Open Graph Description: 手写实现李航《统计学习方法》书中全部算法. Contribute to Gwill/Statistical-Learning-Method_Code development by creating an account on GitHub.

X Description: 手写实现李航《统计学习方法》书中全部算法. Contribute to Gwill/Statistical-Learning-Method_Code development by creating an account on GitHub.

Mail addresses
lvtengchao@pku.edu.cn

Opengraph URL: https://github.com/Gwill/Statistical-Learning-Method_Code

X: @github

direct link

Domain: github.com

route-pattern	/:user_id/:repository
route-controller	files
route-action	disambiguate
fetch-nonce	v2:4c6d784f-31e8-2dd2-20bb-9c7719e75545
current-catalog-service-hash	f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-id	8EB8:2A736A:3118E99:41D0B65:6A53C858
html-safe-nonce	720e2272bb3c5aa05b3d304c5376f40f949229b3123f74fff3a3a358e1ca089e
visitor-payload	eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiI4RUI4OjJBNzM2QTozMTE4RTk5OjQxRDBCNjU6NkE1M0M4NTgiLCJ2aXNpdG9yX2lkIjoiMzI4MDU2MDQ2NDE1Nzk4NDg1NiIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9
visitor-hmac	ed7c970b56e3091d5b64f2a2c84e6745edaef3203f5bcf7bb80692130d455ff3
hovercard-subject-tag	repository:285721657
github-keyboard-shortcuts	repository,copilot
google-site-verification	Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-url	https://collector.github.com/github/collect
analytics-location	//
fb:app_id	1401488693436528
apple-itunes-app	app-id=1477376905, app-argument=https://github.com/Gwill/Statistical-Learning-Method_Code
twitter:image	https://opengraph.githubassets.com/dee23f9c600ce673eaf14d530ba80cbcde39851cd6615788bb93804deebff833/Gwill/Statistical-Learning-Method_Code
twitter:card	summary_large_image
og:image	https://opengraph.githubassets.com/dee23f9c600ce673eaf14d530ba80cbcde39851cd6615788bb93804deebff833/Gwill/Statistical-Learning-Method_Code
og:image:alt	手写实现李航《统计学习方法》书中全部算法. Contribute to Gwill/Statistical-Learning-Method_Code development by creating an account on GitHub.
og:image:width	1200
og:image:height	600
og:site_name	GitHub
og:type	object
hostname	github.com
expected-hostname	github.com
None	b9a586c06a05a7a86fc7e3f4dbd03e42f6869085879aa184aa6369456dbd50fb
turbo-cache-control	no-cache
go-import	github.com/Gwill/Statistical-Learning-Method_Code git https://github.com/Gwill/Statistical-Learning-Method_Code.git
octolytics-dimension-user_id	692980
octolytics-dimension-user_login	Gwill
octolytics-dimension-repository_id	285721657
octolytics-dimension-repository_nwo	Gwill/Statistical-Learning-Method_Code
octolytics-dimension-repository_public	true
octolytics-dimension-repository_is_fork	true
octolytics-dimension-repository_parent_id	157733401
octolytics-dimension-repository_parent_nwo	Dod-o/Statistical-Learning-Method_Code
octolytics-dimension-repository_network_root_id	157733401
octolytics-dimension-repository_network_root_nwo	Dod-o/Statistical-Learning-Method_Code
turbo-body-classes	logged-out env-production page-responsive
disable-turbo	false
browser-stats-url	https://api.github.com/_private/browser/stats
browser-errors-url	https://api.github.com/_private/browser/errors
release	07a982c1d40157c619b364352b704c3ce66bb332
ui-target	full
theme-color	#1e2327
color-scheme	light dark

Links:

Skip to content	https://github.com/Gwill/Statistical-Learning-Method_Code#start-of-content
	https://github.com/
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FGwill%2FStatistical-Learning-Method_Code
GitHub CopilotWrite better code with AI	https://github.com/features/copilot
GitHub Copilot appDirect agents from issue to merge	https://github.com/features/ai/github-app
MCP RegistryNewIntegrate external tools	https://github.com/mcp
ActionsAutomate any workflow	https://github.com/features/actions
CodespacesInstant dev environments	https://github.com/features/codespaces
IssuesPlan and track work	https://github.com/features/issues
Code ReviewManage code changes	https://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilities	https://github.com/security/advanced-security
Code securitySecure your code as you build	https://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they start	https://github.com/security/advanced-security/secret-protection
Why GitHub	https://github.com/why-github
Documentation	https://docs.github.com
Blog	https://github.blog
Changelog	https://github.blog/changelog
Marketplace	https://github.com/marketplace
View all features	https://github.com/features
Enterprises	https://github.com/enterprise
Small and medium teams	https://github.com/team
Startups	https://github.com/enterprise/startups
Nonprofits	https://github.com/solutions/industry/nonprofits
App Modernization	https://github.com/solutions/use-case/app-modernization
DevSecOps	https://github.com/solutions/use-case/devsecops
DevOps	https://github.com/solutions/use-case/devops
CI/CD	https://github.com/solutions/use-case/ci-cd
View all use cases	https://github.com/solutions/use-case
Healthcare	https://github.com/solutions/industry/healthcare
Financial services	https://github.com/solutions/industry/financial-services
Manufacturing	https://github.com/solutions/industry/manufacturing
Government	https://github.com/solutions/industry/government
View all industries	https://github.com/solutions/industry
View all solutions	https://github.com/solutions
AI	https://github.com/resources/articles?topic=ai
Software Development	https://github.com/resources/articles?topic=software-development
DevOps	https://github.com/resources/articles?topic=devops
Security	https://github.com/resources/articles?topic=security
View all topics	https://github.com/resources/articles
Customer stories	https://github.com/customer-stories
Events & webinars	https://github.com/resources/events
Ebooks & reports	https://github.com/resources/whitepapers
Business insights	https://github.com/solutions/executive-insights
GitHub Skills	https://skills.github.com
Documentation	https://docs.github.com
Customer support	https://support.github.com
Community forum	https://github.com/orgs/community/discussions
Trust center	https://github.com/trust-center
Partners	https://github.com/partners
View all resources	https://github.com/resources
GitHub SponsorsFund open source developers	https://github.com/open-source/sponsors
Security Lab	https://securitylab.github.com
Maintainer Community	https://maintainers.github.com
Accelerator	https://github.com/open-source/accelerator
GitHub Stars	https://stars.github.com
Archive Program	https://archiveprogram.github.com
Topics	https://github.com/topics
Trending	https://github.com/trending
Collections	https://github.com/collections
Enterprise platformAI-powered developer platform	https://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security features	https://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI features	https://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 support	https://github.com/enterprise/premium-support
Pricing	https://github.com/pricing
Search syntax tips	https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentation	https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FGwill%2FStatistical-Learning-Method_Code
Sign up	https://github.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E&source=header-repo&source_repo=Gwill%2FStatistical-Learning-Method_Code
Reload	https://github.com/Gwill/Statistical-Learning-Method_Code
Reload	https://github.com/Gwill/Statistical-Learning-Method_Code
Reload	https://github.com/Gwill/Statistical-Learning-Method_Code
Gwill	https://github.com/Gwill
Statistical-Learning-Method_Code	https://github.com/Gwill/Statistical-Learning-Method_Code
Dod-o/Statistical-Learning-Method_Code	https://github.com/Dod-o/Statistical-Learning-Method_Code
Notifications	https://github.com/login?return_to=%2FGwill%2FStatistical-Learning-Method_Code
Fork 0	https://github.com/login?return_to=%2FGwill%2FStatistical-Learning-Method_Code
Star 0	https://github.com/login?return_to=%2FGwill%2FStatistical-Learning-Method_Code
Code	https://github.com/Gwill/Statistical-Learning-Method_Code
Pull requests 0	https://github.com/Gwill/Statistical-Learning-Method_Code/pulls
Actions	https://github.com/Gwill/Statistical-Learning-Method_Code/actions
Projects	https://github.com/Gwill/Statistical-Learning-Method_Code/projects
Security and quality 0	https://github.com/Gwill/Statistical-Learning-Method_Code/security
Insights	https://github.com/Gwill/Statistical-Learning-Method_Code/pulse
Code	https://github.com/Gwill/Statistical-Learning-Method_Code
Pull requests	https://github.com/Gwill/Statistical-Learning-Method_Code/pulls
Actions	https://github.com/Gwill/Statistical-Learning-Method_Code/actions
Projects	https://github.com/Gwill/Statistical-Learning-Method_Code/projects
Security and quality	https://github.com/Gwill/Statistical-Learning-Method_Code/security
Insights	https://github.com/Gwill/Statistical-Learning-Method_Code/pulse
	https://github.com/Gwill/Statistical-Learning-Method_Code
Branches	https://github.com/Gwill/Statistical-Learning-Method_Code/branches
Tags	https://github.com/Gwill/Statistical-Learning-Method_Code/tags
	https://github.com/Gwill/Statistical-Learning-Method_Code/branches
	https://github.com/Gwill/Statistical-Learning-Method_Code/tags
104 Commits	https://github.com/Gwill/Statistical-Learning-Method_Code/commits/master/
	https://github.com/Gwill/Statistical-Learning-Method_Code/commits/master/
AdaBoost	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/AdaBoost
AdaBoost	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/AdaBoost
DecisionTree	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/DecisionTree
DecisionTree	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/DecisionTree
EM	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/EM
EM	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/EM
HMM	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/HMM
HMM	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/HMM
KNN	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/KNN
KNN	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/KNN
Logistic_and_maximum_entropy_models	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/Logistic_and_maximum_entropy_models
Logistic_and_maximum_entropy_models	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/Logistic_and_maximum_entropy_models
Mnist	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/Mnist
Mnist	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/Mnist
NaiveBayes	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/NaiveBayes
NaiveBayes	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/NaiveBayes
SVM	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/SVM
SVM	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/SVM
perceptron	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/perceptron
perceptron	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/perceptron
transMnist	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/transMnist
transMnist	https://github.com/Gwill/Statistical-Learning-Method_Code/tree/master/transMnist
CodePic.png	https://github.com/Gwill/Statistical-Learning-Method_Code/blob/master/CodePic.png
CodePic.png	https://github.com/Gwill/Statistical-Learning-Method_Code/blob/master/CodePic.png
README.md	https://github.com/Gwill/Statistical-Learning-Method_Code/blob/master/README.md
README.md	https://github.com/Gwill/Statistical-Learning-Method_Code/blob/master/README.md
README	https://github.com/Gwill/Statistical-Learning-Method_Code
	https://github.com/Gwill/Statistical-Learning-Method_Code#前言
	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/CodePic.png
传送门	http://www.pkudodo.com/
	https://github.com/Gwill/Statistical-Learning-Method_Code#注其中mnist数据集已转换为csv格式由于体积为107m超过限制改为压缩包形式下载后务必先将mnist文件内压缩包直接解压
	https://github.com/Gwill/Statistical-Learning-Method_Code#另有意向为这个repo补充第二版无监督部分的大佬下拉到最下方联系我只要求注释完善即可我们可以成为好朋友一起冲鸭
	https://github.com/Gwill/Statistical-Learning-Method_Code#实现
	https://github.com/Gwill/Statistical-Learning-Method_Code#第二章-感知机
统计学习方法\|感知机原理剖析及实现	http://www.pkudodo.com/2018/11/18/1-4/
perceptron/perceptron_dichotomy.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/perceptron/perceptron_dichotomy.py
	https://github.com/Gwill/Statistical-Learning-Method_Code#第三章-k近邻
统计学习方法\|K近邻原理剖析及实现	http://www.pkudodo.com/2018/11/19/1-2/
KNN/KNN.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/KNN/KNN.py
	https://github.com/Gwill/Statistical-Learning-Method_Code#第四章-朴素贝叶斯
统计学习方法\|朴素贝叶斯原理剖析及实现	http://www.pkudodo.com/2018/11/21/1-3/
NaiveBayes/NaiveBayes.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/NaiveBayes/NaiveBayes.py
	https://github.com/Gwill/Statistical-Learning-Method_Code#第五章-决策树
统计学习方法\|决策树原理剖析及实现	http://www.pkudodo.com/2018/11/30/1-5/
DecisionTree/DecisionTree.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/DecisionTree/DecisionTree.py
	https://github.com/Gwill/Statistical-Learning-Method_Code#第六章-逻辑斯蒂回归与最大熵模型
统计学习方法\|逻辑斯蒂原理剖析及实现	http://www.pkudodo.com/2018/12/03/1-6/
统计学习方法\|最大熵原理剖析及实现	http://www.pkudodo.com/2018/12/05/1-7/
Logistic_and_maximum_entropy_models/logisticRegression.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/Logistic_and_maximum_entropy_models/logisticRegression.py
Logistic_and_maximum_entropy_models/maxEntropy.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/Logistic_and_maximum_entropy_models/maxEntropy.py
	https://github.com/Gwill/Statistical-Learning-Method_Code#第七章-支持向量机
统计学习方法\|支持向量机(SVM)原理剖析及实现	http://www.pkudodo.com/2018/12/16/1-8/
SVM/SVM.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/SVM/SVM.py
	https://github.com/Gwill/Statistical-Learning-Method_Code#第八章-提升方法
AdaBoost/AdaBoost.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/AdaBoost/AdaBoost.py
	https://github.com/Gwill/Statistical-Learning-Method_Code#第九章-em算法及其推广
EM/EM.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/EM/EM.py
	https://github.com/Gwill/Statistical-Learning-Method_Code#第十章-隐马尔可夫模型
HMM/HMM.py	https://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/HMM/HMM.py
	https://github.com/Gwill/Statistical-Learning-Method_Code#联系
Readme	https://github.com/Gwill/Statistical-Learning-Method_Code#readme-ov-file
Please reload this page	https://github.com/Gwill/Statistical-Learning-Method_Code
Activity	https://github.com/Gwill/Statistical-Learning-Method_Code/activity
0 forks	https://github.com/Gwill/Statistical-Learning-Method_Code/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FGwill%2FStatistical-Learning-Method_Code&report=Gwill+%28user%29
Releases	https://github.com/Gwill/Statistical-Learning-Method_Code/releases
Packages 0	https://github.com/users/Gwill/packages?repo_name=Statistical-Learning-Method_Code
Please reload this page	https://github.com/Gwill/Statistical-Learning-Method_Code
Contributors	https://github.com/Gwill/Statistical-Learning-Method_Code/graphs/contributors
Please reload this page	https://github.com/Gwill/Statistical-Learning-Method_Code
	https://github.com
Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.