René's URL Explorer Experiment


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

Open Graph Title: GitHub - bingothreed/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 - bingothreed/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 bingothreed/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 bingothreed/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 bingothreed/Statistical-Learning-Method_Code development by creating an account on GitHub.

Mail addresses
lvtengchao@pku.edu.cn

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

X: @github

direct link

Domain: patch-diff.githubusercontent.com

route-pattern/:user_id/:repository
route-controllerfiles
route-actiondisambiguate
fetch-noncev2:3d4d73c5-3390-9ee7-feda-7bfe22531f24
current-catalog-service-hashf3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-id9AD8:83DE7:8AB27D1:B2E01E9:6976029A
html-safe-nonce993a3036f6d3ce3c34ba3ce5fb5098ef9799824ffd57d499789c6ee73ac6a7ce
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiI5QUQ4OjgzREU3OjhBQjI3RDE6QjJFMDFFOTo2OTc2MDI5QSIsInZpc2l0b3JfaWQiOiIzNzI4MDU0MDczMDgxMzMyMzc4IiwicmVnaW9uX2VkZ2UiOiJpYWQiLCJyZWdpb25fcmVuZGVyIjoiaWFkIn0=
visitor-hmaccc2bb5a74fa5a8784734c9d4a8d3971f6e611b20b5c1050c69c4f95c3aa30d32
hovercard-subject-tagrepository:306611530
github-keyboard-shortcutsrepository,copilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-urlhttps://collector.github.com/github/collect
analytics-location//
fb:app_id1401488693436528
apple-itunes-appapp-id=1477376905, app-argument=https://github.com/bingothreed/Statistical-Learning-Method_Code
twitter:imagehttps://opengraph.githubassets.com/d842a7b74853257f88e66ef078e9ac8fd290e53bf175224320a12a634814e16e/bingothreed/Statistical-Learning-Method_Code
twitter:cardsummary_large_image
og:imagehttps://opengraph.githubassets.com/d842a7b74853257f88e66ef078e9ac8fd290e53bf175224320a12a634814e16e/bingothreed/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 bingothreed/Statistical-Learning-Method_Code development by creating an account on GitHub.
og:image:width1200
og:image:height600
og:site_nameGitHub
og:typeobject
hostnamegithub.com
expected-hostnamegithub.com
Nonec6814b4cc7afd45cd6e64525d0cff0e76dd802f315a5b0e55a7abda1d1d070d0
turbo-cache-controlno-preview
go-importgithub.com/bingothreed/Statistical-Learning-Method_Code git https://github.com/bingothreed/Statistical-Learning-Method_Code.git
octolytics-dimension-user_id15133787
octolytics-dimension-user_loginbingothreed
octolytics-dimension-repository_id306611530
octolytics-dimension-repository_nwobingothreed/Statistical-Learning-Method_Code
octolytics-dimension-repository_publictrue
octolytics-dimension-repository_is_forktrue
octolytics-dimension-repository_parent_id157733401
octolytics-dimension-repository_parent_nwoDod-o/Statistical-Learning-Method_Code
octolytics-dimension-repository_network_root_id157733401
octolytics-dimension-repository_network_root_nwoDod-o/Statistical-Learning-Method_Code
turbo-body-classeslogged-out env-production page-responsive
disable-turbofalse
browser-stats-urlhttps://api.github.com/_private/browser/stats
browser-errors-urlhttps://api.github.com/_private/browser/errors
release4ea235bfed58ef16c8a5642b3ac64b74f10c9f52
ui-targetfull
theme-color#1e2327
color-schemelight dark

Links:

Skip to contenthttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code#start-of-content
https://patch-diff.githubusercontent.com/
Sign in https://patch-diff.githubusercontent.com/login?return_to=https%3A%2F%2Fgithub.com%2Fbingothreed%2FStatistical-Learning-Method_Code
GitHub CopilotWrite better code with AIhttps://github.com/features/copilot
GitHub SparkBuild and deploy intelligent appshttps://github.com/features/spark
GitHub ModelsManage and compare promptshttps://github.com/features/models
MCP RegistryNewIntegrate external toolshttps://github.com/mcp
ActionsAutomate any workflowhttps://github.com/features/actions
CodespacesInstant dev environmentshttps://github.com/features/codespaces
IssuesPlan and track workhttps://github.com/features/issues
Code ReviewManage code changeshttps://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilitieshttps://github.com/security/advanced-security
Code securitySecure your code as you buildhttps://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they starthttps://github.com/security/advanced-security/secret-protection
Why GitHubhttps://github.com/why-github
Documentationhttps://docs.github.com
Bloghttps://github.blog
Changeloghttps://github.blog/changelog
Marketplacehttps://github.com/marketplace
View all featureshttps://github.com/features
Enterpriseshttps://github.com/enterprise
Small and medium teamshttps://github.com/team
Startupshttps://github.com/enterprise/startups
Nonprofitshttps://github.com/solutions/industry/nonprofits
App Modernizationhttps://github.com/solutions/use-case/app-modernization
DevSecOpshttps://github.com/solutions/use-case/devsecops
DevOpshttps://github.com/solutions/use-case/devops
CI/CDhttps://github.com/solutions/use-case/ci-cd
View all use caseshttps://github.com/solutions/use-case
Healthcarehttps://github.com/solutions/industry/healthcare
Financial serviceshttps://github.com/solutions/industry/financial-services
Manufacturinghttps://github.com/solutions/industry/manufacturing
Governmenthttps://github.com/solutions/industry/government
View all industrieshttps://github.com/solutions/industry
View all solutionshttps://github.com/solutions
AIhttps://github.com/resources/articles?topic=ai
Software Developmenthttps://github.com/resources/articles?topic=software-development
DevOpshttps://github.com/resources/articles?topic=devops
Securityhttps://github.com/resources/articles?topic=security
View all topicshttps://github.com/resources/articles
Customer storieshttps://github.com/customer-stories
Events & webinarshttps://github.com/resources/events
Ebooks & reportshttps://github.com/resources/whitepapers
Business insightshttps://github.com/solutions/executive-insights
GitHub Skillshttps://skills.github.com
Documentationhttps://docs.github.com
Customer supporthttps://support.github.com
Community forumhttps://github.com/orgs/community/discussions
Trust centerhttps://github.com/trust-center
Partnershttps://github.com/partners
GitHub SponsorsFund open source developershttps://github.com/sponsors
Security Labhttps://securitylab.github.com
Maintainer Communityhttps://maintainers.github.com
Acceleratorhttps://github.com/accelerator
Archive Programhttps://archiveprogram.github.com
Topicshttps://github.com/topics
Trendinghttps://github.com/trending
Collectionshttps://github.com/collections
Enterprise platformAI-powered developer platformhttps://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security featureshttps://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI featureshttps://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 supporthttps://github.com/premium-support
Pricinghttps://github.com/pricing
Search syntax tipshttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentationhttps://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in https://patch-diff.githubusercontent.com/login?return_to=https%3A%2F%2Fgithub.com%2Fbingothreed%2FStatistical-Learning-Method_Code
Sign up https://patch-diff.githubusercontent.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=bingothreed%2FStatistical-Learning-Method_Code
Reloadhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code
Reloadhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code
Reloadhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code
bingothreed https://patch-diff.githubusercontent.com/bingothreed
Statistical-Learning-Method_Codehttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code
Dod-o/Statistical-Learning-Method_Codehttps://patch-diff.githubusercontent.com/Dod-o/Statistical-Learning-Method_Code
Notifications https://patch-diff.githubusercontent.com/login?return_to=%2Fbingothreed%2FStatistical-Learning-Method_Code
Fork 0 https://patch-diff.githubusercontent.com/login?return_to=%2Fbingothreed%2FStatistical-Learning-Method_Code
Star 0 https://patch-diff.githubusercontent.com/login?return_to=%2Fbingothreed%2FStatistical-Learning-Method_Code
0 stars https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/stargazers
2.9k forks https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/forks
Branches https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/branches
Tags https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tags
Activity https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/activity
Star https://patch-diff.githubusercontent.com/login?return_to=%2Fbingothreed%2FStatistical-Learning-Method_Code
Notifications https://patch-diff.githubusercontent.com/login?return_to=%2Fbingothreed%2FStatistical-Learning-Method_Code
Code https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code
Pull requests 0 https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/pulls
Actions https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/actions
Projects 0 https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/projects
Security 0 https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/security
Insights https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/pulse
Code https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code
Pull requests https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/pulls
Actions https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/actions
Projects https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/projects
Security https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/security
Insights https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/pulse
Brancheshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/branches
Tagshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tags
https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/branches
https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tags
104 Commitshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/commits/master/
https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/commits/master/
AdaBoosthttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/AdaBoost
AdaBoosthttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/AdaBoost
DecisionTreehttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/DecisionTree
DecisionTreehttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/DecisionTree
EMhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/EM
EMhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/EM
HMMhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/HMM
HMMhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/HMM
KNNhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/KNN
KNNhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/KNN
Logistic_and_maximum_entropy_modelshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/Logistic_and_maximum_entropy_models
Logistic_and_maximum_entropy_modelshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/Logistic_and_maximum_entropy_models
Mnisthttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/Mnist
Mnisthttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/Mnist
NaiveBayeshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/NaiveBayes
NaiveBayeshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/NaiveBayes
SVMhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/SVM
SVMhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/SVM
perceptronhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/perceptron
perceptronhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/perceptron
transMnisthttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/transMnist
transMnisthttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/tree/master/transMnist
CodePic.pnghttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/blob/master/CodePic.png
CodePic.pnghttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/blob/master/CodePic.png
README.mdhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/blob/master/README.md
README.mdhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/blob/master/README.md
READMEhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code
https://patch-diff.githubusercontent.com/bingothreed/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://patch-diff.githubusercontent.com/bingothreed/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://patch-diff.githubusercontent.com/bingothreed/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://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code#实现
https://patch-diff.githubusercontent.com/bingothreed/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.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/perceptron/perceptron_dichotomy.py
https://patch-diff.githubusercontent.com/bingothreed/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.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/KNN/KNN.py
https://patch-diff.githubusercontent.com/bingothreed/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.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/NaiveBayes/NaiveBayes.py
https://patch-diff.githubusercontent.com/bingothreed/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.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/DecisionTree/DecisionTree.py
https://patch-diff.githubusercontent.com/bingothreed/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.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/Logistic_and_maximum_entropy_models/logisticRegression.py
Logistic_and_maximum_entropy_models/maxEntropy.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/Logistic_and_maximum_entropy_models/maxEntropy.py
https://patch-diff.githubusercontent.com/bingothreed/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.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/SVM/SVM.py
https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code#第八章-提升方法
AdaBoost/AdaBoost.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/AdaBoost/AdaBoost.py
https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code#第九章-em算法及其推广
EM/EM.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/EM/EM.py
https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code#第十章-隐马尔可夫模型
HMM/HMM.pyhttps://github.com/Dod-o/Statistical-Learning-Method_Code/blob/master/HMM/HMM.py
https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code#联系
Readme https://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code#readme-ov-file
Please reload this pagehttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code
Activityhttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/activity
0 starshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/stargazers
0 watchinghttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/watchers
0 forkshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/forks
Report repository https://patch-diff.githubusercontent.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fbingothreed%2FStatistical-Learning-Method_Code&report=bingothreed+%28user%29
Releaseshttps://patch-diff.githubusercontent.com/bingothreed/Statistical-Learning-Method_Code/releases
Packages 0https://patch-diff.githubusercontent.com/users/bingothreed/packages?repo_name=Statistical-Learning-Method_Code
https://github.com
Termshttps://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.