René's URL Explorer Experiment

Title: GitHub - giserh/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 - giserh/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 - giserh/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 giserh/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 giserh/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 giserh/Statistical-Learning-Method_Code development by creating an account on GitHub.

Mail addresses
lvtengchao@pku.edu.cn

Opengraph URL: https://github.com/giserh/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:bdbac64a-011e-17e4-9365-652774b7c171
current-catalog-service-hash	f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-id	BB34:2B6B99:1680145:1EDDC67:6A53E112
html-safe-nonce	6e2c53714928b101ce9b45fc20bc22fa636af90d5dd3f1d29564b34ad44bf947
visitor-payload	eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCQjM0OjJCNkI5OToxNjgwMTQ1OjFFRERDNjc6NkE1M0UxMTIiLCJ2aXNpdG9yX2lkIjoiODY1ODc0MTAzNTAxNzY5MTQxMCIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9
visitor-hmac	d8c74307d62eab8f90c4d4a84a89dfac8718abe558cc5e8a6dc24b74608f582c
hovercard-subject-tag	repository:264647104
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/giserh/Statistical-Learning-Method_Code
twitter:image	https://opengraph.githubassets.com/d2720860f59d454f82fa46e270149505f566c15d1614e28b728febec86b8ed3f/giserh/Statistical-Learning-Method_Code
twitter:card	summary_large_image
og:image	https://opengraph.githubassets.com/d2720860f59d454f82fa46e270149505f566c15d1614e28b728febec86b8ed3f/giserh/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 giserh/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/giserh/Statistical-Learning-Method_Code git https://github.com/giserh/Statistical-Learning-Method_Code.git
octolytics-dimension-user_id	6565882
octolytics-dimension-user_login	giserh
octolytics-dimension-repository_id	264647104
octolytics-dimension-repository_nwo	giserh/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/giserh/Statistical-Learning-Method_Code#start-of-content
	https://github.com/
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fgiserh%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%2Fgiserh%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=giserh%2FStatistical-Learning-Method_Code
Reload	https://github.com/giserh/Statistical-Learning-Method_Code
Reload	https://github.com/giserh/Statistical-Learning-Method_Code
Reload	https://github.com/giserh/Statistical-Learning-Method_Code
giserh	https://github.com/giserh
Statistical-Learning-Method_Code	https://github.com/giserh/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=%2Fgiserh%2FStatistical-Learning-Method_Code
Fork 1	https://github.com/login?return_to=%2Fgiserh%2FStatistical-Learning-Method_Code
Star 0	https://github.com/login?return_to=%2Fgiserh%2FStatistical-Learning-Method_Code
Code	https://github.com/giserh/Statistical-Learning-Method_Code
Pull requests 0	https://github.com/giserh/Statistical-Learning-Method_Code/pulls
Actions	https://github.com/giserh/Statistical-Learning-Method_Code/actions
Projects	https://github.com/giserh/Statistical-Learning-Method_Code/projects
Security and quality 0	https://github.com/giserh/Statistical-Learning-Method_Code/security
Insights	https://github.com/giserh/Statistical-Learning-Method_Code/pulse
Code	https://github.com/giserh/Statistical-Learning-Method_Code
Pull requests	https://github.com/giserh/Statistical-Learning-Method_Code/pulls
Actions	https://github.com/giserh/Statistical-Learning-Method_Code/actions
Projects	https://github.com/giserh/Statistical-Learning-Method_Code/projects
Security and quality	https://github.com/giserh/Statistical-Learning-Method_Code/security
Insights	https://github.com/giserh/Statistical-Learning-Method_Code/pulse
	https://github.com/giserh/Statistical-Learning-Method_Code
Branches	https://github.com/giserh/Statistical-Learning-Method_Code/branches
Tags	https://github.com/giserh/Statistical-Learning-Method_Code/tags
	https://github.com/giserh/Statistical-Learning-Method_Code/branches
	https://github.com/giserh/Statistical-Learning-Method_Code/tags
99 Commits	https://github.com/giserh/Statistical-Learning-Method_Code/commits/master/
	https://github.com/giserh/Statistical-Learning-Method_Code/commits/master/
AdaBoost	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/AdaBoost
AdaBoost	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/AdaBoost
DecisionTree	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/DecisionTree
DecisionTree	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/DecisionTree
EM	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/EM
EM	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/EM
HMM	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/HMM
HMM	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/HMM
KNN	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/KNN
KNN	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/KNN
Logistic_and_maximum_entropy_models	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/Logistic_and_maximum_entropy_models
Logistic_and_maximum_entropy_models	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/Logistic_and_maximum_entropy_models
Mnist	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/Mnist
Mnist	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/Mnist
NaiveBayes	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/NaiveBayes
NaiveBayes	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/NaiveBayes
SVM	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/SVM
SVM	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/SVM
perceptron	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/perceptron
perceptron	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/perceptron
transMnist	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/transMnist
transMnist	https://github.com/giserh/Statistical-Learning-Method_Code/tree/master/transMnist
CodePic.png	https://github.com/giserh/Statistical-Learning-Method_Code/blob/master/CodePic.png
CodePic.png	https://github.com/giserh/Statistical-Learning-Method_Code/blob/master/CodePic.png
README.md	https://github.com/giserh/Statistical-Learning-Method_Code/blob/master/README.md
README.md	https://github.com/giserh/Statistical-Learning-Method_Code/blob/master/README.md
README	https://github.com/giserh/Statistical-Learning-Method_Code
	https://github.com/giserh/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/giserh/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/giserh/Statistical-Learning-Method_Code#实现
	https://github.com/giserh/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/giserh/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/giserh/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/giserh/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/giserh/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/giserh/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/giserh/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/giserh/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/giserh/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/giserh/Statistical-Learning-Method_Code#联系
Readme	https://github.com/giserh/Statistical-Learning-Method_Code#readme-ov-file
Please reload this page	https://github.com/giserh/Statistical-Learning-Method_Code
Activity	https://github.com/giserh/Statistical-Learning-Method_Code/activity
1 fork	https://github.com/giserh/Statistical-Learning-Method_Code/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fgiserh%2FStatistical-Learning-Method_Code&report=giserh+%28user%29
Releases	https://github.com/giserh/Statistical-Learning-Method_Code/releases
Packages 0	https://github.com/users/giserh/packages?repo_name=Statistical-Learning-Method_Code
Please reload this page	https://github.com/giserh/Statistical-Learning-Method_Code
Contributors	https://github.com/giserh/Statistical-Learning-Method_Code/graphs/contributors
Please reload this page	https://github.com/giserh/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.