René's URL Explorer Experiment

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

Opengraph URL: https://github.com/loopzxl/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:a34c59dd-e80a-c2ac-673d-bdb20da5afb3
current-catalog-service-hash	f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-id	AE5A:3DC17:1CFD9A7:2795596:6A5406CD
html-safe-nonce	81c999b57d837047dafd416bb11758a99dfeef42842052c0e8a571149cf0ca42
visitor-payload	eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJBRTVBOjNEQzE3OjFDRkQ5QTc6Mjc5NTU5Njo2QTU0MDZDRCIsInZpc2l0b3JfaWQiOiIxNzQwMzI0MjA3NTcxNzY0OTQxIiwicmVnaW9uX2VkZ2UiOiJpYWQiLCJyZWdpb25fcmVuZGVyIjoiaWFkIn0=
visitor-hmac	589cdff90cd1881d57a798524f9ec16aab66208256f2ae6eca30d0124d2f7741
hovercard-subject-tag	repository:165965938
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/loopzxl/Statistical-Learning-Method_Code
twitter:image	https://opengraph.githubassets.com/7d28d25fd88eb9b1c01a27a9d752cfdaaf7ea1e806480ce408d4afe7b22a813d/loopzxl/Statistical-Learning-Method_Code
twitter:card	summary_large_image
og:image	https://opengraph.githubassets.com/7d28d25fd88eb9b1c01a27a9d752cfdaaf7ea1e806480ce408d4afe7b22a813d/loopzxl/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 loopzxl/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/loopzxl/Statistical-Learning-Method_Code git https://github.com/loopzxl/Statistical-Learning-Method_Code.git
octolytics-dimension-user_id	4694157
octolytics-dimension-user_login	loopzxl
octolytics-dimension-repository_id	165965938
octolytics-dimension-repository_nwo	loopzxl/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/loopzxl/Statistical-Learning-Method_Code#start-of-content
	https://github.com/
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Floopzxl%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%2Floopzxl%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=loopzxl%2FStatistical-Learning-Method_Code
Reload	https://github.com/loopzxl/Statistical-Learning-Method_Code
Reload	https://github.com/loopzxl/Statistical-Learning-Method_Code
Reload	https://github.com/loopzxl/Statistical-Learning-Method_Code
loopzxl	https://github.com/loopzxl
Statistical-Learning-Method_Code	https://github.com/loopzxl/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=%2Floopzxl%2FStatistical-Learning-Method_Code
Fork 0	https://github.com/login?return_to=%2Floopzxl%2FStatistical-Learning-Method_Code
Star 0	https://github.com/login?return_to=%2Floopzxl%2FStatistical-Learning-Method_Code
Code	https://github.com/loopzxl/Statistical-Learning-Method_Code
Pull requests 0	https://github.com/loopzxl/Statistical-Learning-Method_Code/pulls
Actions	https://github.com/loopzxl/Statistical-Learning-Method_Code/actions
Projects	https://github.com/loopzxl/Statistical-Learning-Method_Code/projects
Security and quality 0	https://github.com/loopzxl/Statistical-Learning-Method_Code/security
Insights	https://github.com/loopzxl/Statistical-Learning-Method_Code/pulse
Code	https://github.com/loopzxl/Statistical-Learning-Method_Code
Pull requests	https://github.com/loopzxl/Statistical-Learning-Method_Code/pulls
Actions	https://github.com/loopzxl/Statistical-Learning-Method_Code/actions
Projects	https://github.com/loopzxl/Statistical-Learning-Method_Code/projects
Security and quality	https://github.com/loopzxl/Statistical-Learning-Method_Code/security
Insights	https://github.com/loopzxl/Statistical-Learning-Method_Code/pulse
	https://github.com/loopzxl/Statistical-Learning-Method_Code
Branches	https://github.com/loopzxl/Statistical-Learning-Method_Code/branches
Tags	https://github.com/loopzxl/Statistical-Learning-Method_Code/tags
	https://github.com/loopzxl/Statistical-Learning-Method_Code/branches
	https://github.com/loopzxl/Statistical-Learning-Method_Code/tags
85 Commits	https://github.com/loopzxl/Statistical-Learning-Method_Code/commits/master/
	https://github.com/loopzxl/Statistical-Learning-Method_Code/commits/master/
AdaBoost	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/AdaBoost
AdaBoost	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/AdaBoost
DecisionTree	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/DecisionTree
DecisionTree	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/DecisionTree
EM	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/EM
EM	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/EM
HMM	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/HMM
HMM	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/HMM
KNN	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/KNN
KNN	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/KNN
Logistic_and_maximum_entropy_models	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/Logistic_and_maximum_entropy_models
Logistic_and_maximum_entropy_models	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/Logistic_and_maximum_entropy_models
Mnist	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/Mnist
Mnist	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/Mnist
NaiveBayes	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/NaiveBayes
NaiveBayes	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/NaiveBayes
SVM	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/SVM
SVM	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/SVM
perceptron	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/perceptron
perceptron	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/perceptron
transMnist	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/transMnist
transMnist	https://github.com/loopzxl/Statistical-Learning-Method_Code/tree/master/transMnist
CodePic.png	https://github.com/loopzxl/Statistical-Learning-Method_Code/blob/master/CodePic.png
CodePic.png	https://github.com/loopzxl/Statistical-Learning-Method_Code/blob/master/CodePic.png
README.md	https://github.com/loopzxl/Statistical-Learning-Method_Code/blob/master/README.md
README.md	https://github.com/loopzxl/Statistical-Learning-Method_Code/blob/master/README.md
README	https://github.com/loopzxl/Statistical-Learning-Method_Code
	https://github.com/loopzxl/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/loopzxl/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/loopzxl/Statistical-Learning-Method_Code#实现
	https://github.com/loopzxl/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/loopzxl/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/loopzxl/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/loopzxl/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/loopzxl/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/loopzxl/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/loopzxl/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/loopzxl/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/loopzxl/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
Readme	https://github.com/loopzxl/Statistical-Learning-Method_Code#readme-ov-file
Please reload this page	https://github.com/loopzxl/Statistical-Learning-Method_Code
Activity	https://github.com/loopzxl/Statistical-Learning-Method_Code/activity
0 forks	https://github.com/loopzxl/Statistical-Learning-Method_Code/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Floopzxl%2FStatistical-Learning-Method_Code&report=loopzxl+%28user%29
Releases	https://github.com/loopzxl/Statistical-Learning-Method_Code/releases
Packages 0	https://github.com/users/loopzxl/packages?repo_name=Statistical-Learning-Method_Code
Please reload this page	https://github.com/loopzxl/Statistical-Learning-Method_Code
Contributors	https://github.com/loopzxl/Statistical-Learning-Method_Code/graphs/contributors
Please reload this page	https://github.com/loopzxl/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.