René's URL Explorer Experiment

Title: GitHub - Myth2018/MachineLearning: Machine Learning in Action（机器学习实战） · GitHub

Open Graph Title: GitHub - Myth2018/MachineLearning: Machine Learning in Action（机器学习实战）

X Title: GitHub - Myth2018/MachineLearning: Machine Learning in Action（机器学习实战）

Description: Machine Learning in Action（机器学习实战）. Contribute to Myth2018/MachineLearning development by creating an account on GitHub.

Open Graph Description: Machine Learning in Action（机器学习实战）. Contribute to Myth2018/MachineLearning development by creating an account on GitHub.

X Description: Machine Learning in Action（机器学习实战）. Contribute to Myth2018/MachineLearning development by creating an account on GitHub.

Opengraph URL: https://github.com/Myth2018/MachineLearning

X: @github

direct link

Domain: github.com

route-pattern	/:user_id/:repository
route-controller	files
route-action	disambiguate
fetch-nonce	v2:7d80f8a8-29ca-cd3c-5046-becd3fcb40c2
current-catalog-service-hash	f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-id	811E:37F578:2FB7AC7:449D99A:6A567A85
html-safe-nonce	d37ac769ba4fa993ca17b6d7ab44e7323f2bfed85f8928b8eca9355e4457292d
visitor-payload	eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiI4MTFFOjM3RjU3ODoyRkI3QUM3OjQ0OUQ5OUE6NkE1NjdBODUiLCJ2aXNpdG9yX2lkIjoiMjE5NDU5MTk2Nzc3ODA3NzMxNyIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9
visitor-hmac	732967fa27135e621c211f8ce8f1692593517e96bf1c85fbf5221f36553d9238
hovercard-subject-tag	repository:132066884
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/Myth2018/MachineLearning
twitter:image	https://opengraph.githubassets.com/f64db85574632219dccc73d857abaa1ed8e03f48ef046cc31a789cf4279ec5da/Myth2018/MachineLearning
twitter:card	summary_large_image
og:image	https://opengraph.githubassets.com/f64db85574632219dccc73d857abaa1ed8e03f48ef046cc31a789cf4279ec5da/Myth2018/MachineLearning
og:image:alt	Machine Learning in Action（机器学习实战）. Contribute to Myth2018/MachineLearning 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	19b5ee9431dcfce15ab4b001d626e4e3a6ba1acb7be814813a52bbebd9a86ef5
turbo-cache-control	no-cache
go-import	github.com/Myth2018/MachineLearning git https://github.com/Myth2018/MachineLearning.git
octolytics-dimension-user_id	38900246
octolytics-dimension-user_login	Myth2018
octolytics-dimension-repository_id	132066884
octolytics-dimension-repository_nwo	Myth2018/MachineLearning
octolytics-dimension-repository_public	true
octolytics-dimension-repository_is_fork	true
octolytics-dimension-repository_parent_id	83119431
octolytics-dimension-repository_parent_nwo	apachecn/ailearning
octolytics-dimension-repository_network_root_id	83119431
octolytics-dimension-repository_network_root_nwo	apachecn/ailearning
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	fc131753d059926755b1ab26f13a2c96a692f5d7
ui-target	full
theme-color	#1e2327
color-scheme	light dark

Links:

Skip to content	https://github.com/Myth2018/MachineLearning#start-of-content
	https://github.com/
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2FMyth2018%2FMachineLearning
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%2FMyth2018%2FMachineLearning
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=Myth2018%2FMachineLearning
Reload	https://github.com/Myth2018/MachineLearning
Reload	https://github.com/Myth2018/MachineLearning
Reload	https://github.com/Myth2018/MachineLearning
Myth2018	https://github.com/Myth2018
MachineLearning	https://github.com/Myth2018/MachineLearning
apachecn/ailearning	https://github.com/apachecn/ailearning
Notifications	https://github.com/login?return_to=%2FMyth2018%2FMachineLearning
Fork 0	https://github.com/login?return_to=%2FMyth2018%2FMachineLearning
Star 0	https://github.com/login?return_to=%2FMyth2018%2FMachineLearning
Code	https://github.com/Myth2018/MachineLearning
Pull requests 0	https://github.com/Myth2018/MachineLearning/pulls
Actions	https://github.com/Myth2018/MachineLearning/actions
Projects	https://github.com/Myth2018/MachineLearning/projects
Security and quality 0	https://github.com/Myth2018/MachineLearning/security
Insights	https://github.com/Myth2018/MachineLearning/pulse
Code	https://github.com/Myth2018/MachineLearning
Pull requests	https://github.com/Myth2018/MachineLearning/pulls
Actions	https://github.com/Myth2018/MachineLearning/actions
Projects	https://github.com/Myth2018/MachineLearning/projects
Security and quality	https://github.com/Myth2018/MachineLearning/security
Insights	https://github.com/Myth2018/MachineLearning/pulse
	https://github.com/Myth2018/MachineLearning
Branches	https://github.com/Myth2018/MachineLearning/branches
Tags	https://github.com/Myth2018/MachineLearning/tags
	https://github.com/Myth2018/MachineLearning/branches
	https://github.com/Myth2018/MachineLearning/tags
1,006 Commits	https://github.com/Myth2018/MachineLearning/commits/master/
	https://github.com/Myth2018/MachineLearning/commits/master/
books	https://github.com/Myth2018/MachineLearning/tree/master/books
books	https://github.com/Myth2018/MachineLearning/tree/master/books
docs	https://github.com/Myth2018/MachineLearning/tree/master/docs
docs	https://github.com/Myth2018/MachineLearning/tree/master/docs
faq	https://github.com/Myth2018/MachineLearning/tree/master/faq
faq	https://github.com/Myth2018/MachineLearning/tree/master/faq
images	https://github.com/Myth2018/MachineLearning/tree/master/images
images	https://github.com/Myth2018/MachineLearning/tree/master/images
input	https://github.com/Myth2018/MachineLearning/tree/master/input
input	https://github.com/Myth2018/MachineLearning/tree/master/input
output/3.DecisionTree	https://github.com/Myth2018/MachineLearning/tree/master/output/3.DecisionTree
output/3.DecisionTree	https://github.com/Myth2018/MachineLearning/tree/master/output/3.DecisionTree
report	https://github.com/Myth2018/MachineLearning/tree/master/report
report	https://github.com/Myth2018/MachineLearning/tree/master/report
src	https://github.com/Myth2018/MachineLearning/tree/master/src
src	https://github.com/Myth2018/MachineLearning/tree/master/src
tools	https://github.com/Myth2018/MachineLearning/tree/master/tools
tools	https://github.com/Myth2018/MachineLearning/tree/master/tools
LICENSE	https://github.com/Myth2018/MachineLearning/blob/master/LICENSE
LICENSE	https://github.com/Myth2018/MachineLearning/blob/master/LICENSE
README.md	https://github.com/Myth2018/MachineLearning/blob/master/README.md
README.md	https://github.com/Myth2018/MachineLearning/blob/master/README.md
README	https://github.com/Myth2018/MachineLearning
GPL-3.0 license	https://github.com/Myth2018/MachineLearning
	https://github.com/Myth2018/MachineLearning#machinelearning
	https://shang.qq.com/wpa/qunwpa?idkey=30e5f1123a79867570f665aa3a483ca404b1c3f77737bc01ec520ed5f078ddef
ApacheCN(apache中文网)	http://cwiki.apachecn.org/
【机器学习实战-中文版-带目录版.pdf】	https://github.com/apachecn/MachineLearning/tree/master/books
群小哥哥：Wizard Zhang	https://github.com/wizardforcel
《机器学习实战-ApacheCN.pdf》	https://github.com/apachecn/MachineLearning/blob/master/books/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98-ApacheCN.pdf
群小哥哥：红色石头的机器学习之路	https://github.com/RedstoneWill
台湾大学林轩田机器学习基石课程 - 系列学习笔记	https://mp.weixin.qq.com/s/xb0i55zIQVzCiSZALbvncg
	https://github.com/Myth2018/MachineLearning#机器学习
第 1 章: 机器学习基础	https://github.com/apachecn/MachineLearning/blob/master/docs/1.机器学习基础.md
@毛红动	https://github.com/ElmaDavies
第 2 章: KNN 近邻算法	https://github.com/apachecn/MachineLearning/blob/master/docs/2.k-近邻算法.md
@尤永江	https://github.com/youyj521
第 3 章: 决策树	https://github.com/apachecn/MachineLearning/blob/master/docs/3.决策树.md
@景涛	https://github.com/jingwangfei
第 4 章: 朴素贝叶斯	https://github.com/apachecn/MachineLearning/blob/master/docs/4.朴素贝叶斯.md
@wnma3mz	https://github.com/wnma3mz
@分析	https://github.com/kailian
第 5 章: Logistic回归	https://github.com/apachecn/MachineLearning/blob/master/docs/5.Logistic回归.md
@微光同尘	https://github.com/DataMonk2017
第 6 章: SVM 支持向量机	https://github.com/apachecn/MachineLearning/blob/master/docs/6.支持向量机.md
@王德红	https://github.com/VPrincekin
第 7 章: 集成方法（随机森林和 AdaBoost）	https://github.com/apachecn/MachineLearning/blob/master/docs/7.集成方法-随机森林和AdaBoost.md
@片刻	https://github.com/jiangzhonglian
第 8 章: 回归	https://github.com/apachecn/MachineLearning/blob/master/docs/8.回归.md
@微光同尘	https://github.com/DataMonk2017
第 9 章: 树回归	https://github.com/apachecn/MachineLearning/blob/master/docs/9.树回归.md
@微光同尘	https://github.com/DataMonk2017
第 10 章: K-Means 聚类	https://github.com/apachecn/MachineLearning/blob/master/docs/10.k-means聚类.md
@徐昭清	https://github.com/xuzhaoqing
第 11 章: 利用 Apriori 算法进行关联分析	https://github.com/apachecn/MachineLearning/blob/master/docs/11.使用Apriori算法进行关联分析.md
@刘海飞	https://github.com/WindZQ
第 12 章: FP-growth 高效发现频繁项集	https://github.com/apachecn/MachineLearning/blob/master/docs/12.使用FP-growth算法来高效发现频繁项集.md
@程威	https://github.com/mikechengwei
第 13 章: 利用 PCA 来简化数据	https://github.com/apachecn/MachineLearning/blob/master/docs/13.利用PCA来简化数据.md
@廖立娟	https://github.com/lljuan330
第 14 章: 利用 SVD 来简化数据	https://github.com/apachecn/MachineLearning/blob/master/docs/14.利用SVD简化数据.md
@张俊皓	https://github.com/marsjhao
第 15 章: 大数据与 MapReduce	https://github.com/apachecn/MachineLearning/blob/master/docs/15.大数据与MapReduce.md
第 16 章: 推荐系统	https://github.com/apachecn/MachineLearning/blob/master/docs/16.推荐系统.md
	https://github.com/Myth2018/MachineLearning#深度学习deeplearning--正在更新迭代
入门介绍	https://github.com/Myth2018/MachineLearning/blob/master/docs/DeepLearning/1.%E5%85%A5%E9%97%A8%E4%BB%8B%E7%BB%8D.md
	https://github.com/Myth2018/MachineLearning#自然语言处理nlp
	https://github.com/Myth2018/MachineLearning#第一部分-入门介绍
自然语言处理入门介绍	https://github.com/Myth2018/MachineLearning/blob/master/docs/NLP/1.%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86%E5%85%A5%E9%97%A8%E4%BB%8B%E7%BB%8D.md
	https://github.com/Myth2018/MachineLearning#第二部分-机器翻译
机器翻译	https://github.com/Myth2018/MachineLearning/blob/master/docs/NLP/2.%E6%9C%BA%E5%99%A8%E7%BF%BB%E8%AF%91.md
	https://github.com/Myth2018/MachineLearning#第三部分-篇章分析
篇章分析-内容概述	https://github.com/Myth2018/MachineLearning/blob/master/docs/NLP/3.1.%E7%AF%87%E7%AB%A0%E5%88%86%E6%9E%90-%E5%86%85%E5%AE%B9%E6%A6%82%E8%BF%B0.md
篇章分析-内容标签	https://github.com/Myth2018/MachineLearning/blob/master/docs/NLP/3.2.%E7%AF%87%E7%AB%A0%E5%88%86%E6%9E%90-%E5%86%85%E5%AE%B9%E6%A0%87%E7%AD%BE.md
篇章分析-情感分析	https://github.com/Myth2018/MachineLearning/blob/master/docs/NLP/3.3.%E7%AF%87%E7%AB%A0%E5%88%86%E6%9E%90-%E6%83%85%E6%84%9F%E5%88%86%E6%9E%90.md
篇章分析-自动摘要	https://github.com/Myth2018/MachineLearning/blob/master/docs/NLP/3.4.%E7%AF%87%E7%AB%A0%E5%88%86%E6%9E%90-%E8%87%AA%E5%8A%A8%E6%91%98%E8%A6%81.md
	https://github.com/Myth2018/MachineLearning#第四部分-unit-语言理解与交互技术
UNIT-语言理解与交互技术	https://github.com/Myth2018/MachineLearning/blob/master/docs/NLP/4.UNIT-%E8%AF%AD%E8%A8%80%E7%90%86%E8%A7%A3%E4%B8%8E%E4%BA%A4%E4%BA%92%E6%8A%80%E6%9C%AF.md
	https://github.com/Myth2018/MachineLearning#未来规划样子
机器学习基础	https://github.com/apachecn/MachineLearning/blob/master/docs/1.机器学习基础.md
@片刻	https://github.com/jiangzhonglian
KNN 近邻算法	https://github.com/apachecn/MachineLearning/blob/master/docs/2.k-近邻算法.md
@微光同尘	https://github.com/DataMonk2017
决策树	https://github.com/apachecn/MachineLearning/blob/master/docs/3.决策树.md
@景涛	https://github.com/jingwangfei
朴素贝叶斯	https://github.com/apachecn/MachineLearning/blob/master/docs/4.朴素贝叶斯.md
@wnma3mz	https://github.com/wnma3mz
@平淡的天	https://github.com/friedhelm739
Logistic回归	https://github.com/apachecn/MachineLearning/blob/master/docs/5.Logistic回归.md
@景涛	https://github.com/jingwangfei
SVM 支持向量机	https://github.com/apachecn/MachineLearning/blob/master/docs/6.支持向量机.md
@小王子	https://github.com/VPrincekin
@景涛	https://github.com/jingwangfei
集成方法	https://github.com/apachecn/MachineLearning/blob/master/docs/7.集成方法-随机森林和AdaBoost.md
@片刻	https://github.com/jiangzhonglian
随机森林	https://github.com/apachecn/MachineLearning/blob/master/docs/7.集成方法-随机森林和AdaBoost.md
@片刻	https://github.com/jiangzhonglian
AdaBoost	https://github.com/apachecn/MachineLearning/blob/master/docs/7.集成方法-随机森林和AdaBoost.md
@片刻	https://github.com/jiangzhonglian
回归	https://github.com/apachecn/MachineLearning/blob/master/docs/8.回归.md
@微光同尘	https://github.com/DataMonk2017
树回归	https://github.com/apachecn/MachineLearning/blob/master/docs/9.树回归.md
@微光同尘	https://github.com/DataMonk2017
@小王子	https://github.com/VPrincekin
K-Means 聚类	https://github.com/apachecn/MachineLearning/blob/master/docs/10.k-means聚类.md
@徐昭清	https://github.com/xuzhaoqing
利用 Apriori 算法进行关联分析	https://github.com/apachecn/MachineLearning/blob/master/docs/11.使用Apriori算法进行关联分析.md
@刘海飞	https://github.com/WindZQ
FP-growth 高效发现频繁项集	https://github.com/apachecn/MachineLearning/blob/master/docs/12.使用FP-growth算法来高效发现频繁项集.md
@程威	https://github.com/mikechengwei
利用 PCA 来简化数据	https://github.com/apachecn/MachineLearning/blob/master/docs/13.利用PCA来简化数据.md
@廖立娟	https://github.com/lljuan330
利用 SVD 来简化数据	https://github.com/apachecn/MachineLearning/blob/master/docs/14.利用SVD简化数据.md
@片刻	https://github.com/jiangzhonglian
@Lisanaaa	https://github.com/Lisanaaa
@咸鱼	https://github.com/Watermelon233
@咸鱼	https://github.com/Watermelon233
NN	https://github.com/apachecn/MachineLearning/blob/master/docs/DeepLearning/1.入门介绍.md
@红色石头	https://github.com/RedstoneWill
@红色石头	https://github.com/RedstoneWill
@瑶妹	https://github.com/chenyyx
@咸鱼	https://github.com/Watermelon233
@片刻	https://github.com/jiangzhonglian
@片刻	https://github.com/jiangzhonglian
@片刻	https://github.com/jiangzhonglian
Word2Vec 原理介绍	https://github.com/apachecn/MachineLearning/blob/master/docs/NLP/Word2Vec.md
@片刻	https://github.com/jiangzhonglian
大数据与MapReduce	https://github.com/apachecn/MachineLearning/blob/master/docs/15.大数据与MapReduce.md
推荐系统	https://github.com/apachecn/MachineLearning/blob/master/docs/16.推荐系统.md
	https://github.com/Myth2018/MachineLearning#项目负责人
@片刻	https://github.com/jiangzhonglian
@那伊抹微笑	https://github.com/wangyangting
@瑶妹	https://github.com/chenyyx
2017-04-08_第一期的总结	https://github.com/Myth2018/MachineLearning/blob/master/report/2017-04-08_%E7%AC%AC%E4%B8%80%E6%9C%9F%E7%9A%84%E6%80%BB%E7%BB%93.md
@片刻	https://github.com/jiangzhonglian
@那伊抹微笑	https://github.com/wangyangting
@瑶妹	https://github.com/chenyyx
@Mike	https://github.com/mikechengwei
	https://github.com/Myth2018/MachineLearning#项目贡献者
@侯法超	https://github.com/geekidentity
@hello19883	https://github.com/hello19883
@徐鑫	https://github.com/sheepmen
@ibe	https://github.com/highfei2011
@Arithmetic	https://github.com/LeeMoonCh
@Veyron C	https://github.com/caopeirui
@Cugtyt	https://github.com/Cugtyt
@BBruceyuan	https://github.com/hey-bruce
ApacheCN(apache中文网) 维护更新	http://www.apachecn.org
关于我们	http://cwiki.apachecn.org/pages/viewpage.action?pageId=2887240
加入我们	http://cwiki.apachecn.org/pages/viewpage.action?pageId=2887239
	https://github.com/Myth2018/MachineLearning#网站视频
知乎问答-爆炸啦-机器学习该怎么入门？	https://www.zhihu.com/question/20691338/answer/248678328
MachineLearning(机器学习) 学习路线图	http://www.apachecn.org/map/145.html
	https://github.com/Myth2018/MachineLearning/blob/master/images/MainPage/ApacheCN-ML-bilibili-compare.jpg
《机器学习实战-教学版》	https://space.bilibili.com/97678687/#!/channel/detail?cid=22486
《机器学习实战-讨论版》	https://space.bilibili.com/97678687/#!/channel/detail?cid=13045
机器学习初学者建议 \| ApacheCN	http://www.apachecn.org/map/179.html
MachineLearning(机器学习) 学习路线图	http://www.apachecn.org/map/145.html
	http://www.acfun.cn/u/12540256.aspx#page=1
	https://space.bilibili.com/97678687/#!/channel/index
	http://i.youku.com/apachecn
	http://study.163.com/course/courseMain.htm?courseId=1004582003
ApacheCN 组织资源	http://www.apachecn.org/
	https://github.com/Myth2018/MachineLearning#apachecn-组织资源
kaggle: 机器学习竞赛	https://github.com/apachecn/kaggle
TensorFlow R1.2 中文文档	http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030122
机器学习实战-教学	https://github.com/apachecn/MachineLearning
Spark 2.2.0和2.0.2 中文文档	http://spark.apachecn.org/
Zeppelin 0.7.2 中文文档	http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030467
Pytorch 0.3 中文文档	http://pytorch.apachecn.org/cn/0.3.0/
Sklearn 0.19 中文文档	http://sklearn.apachecn.org/
Storm 1.1.0和1.0.1 中文文档	http://storm.apachecn.org/
Kibana 5.2 中文文档	http://cwiki.apachecn.org/pages/viewpage.action?pageId=8159377
LightGBM 中文文档	http://lightgbm.apachecn.org/cn/latest
Kudu 1.4.0 中文文档	http://cwiki.apachecn.org/pages/viewpage.action?pageId=10813594
XGBoost 中文文档	http://xgboost.apachecn.org/cn/latest
Elasticsearch 5.4 中文文档	http://cwiki.apachecn.org/pages/viewpage.action?pageId=4260364
Beam 中文文档	http://beam.apachecn.org/
ml.apachecn.org/mlia	http://ml.apachecn.org/mlia
Readme	https://github.com/Myth2018/MachineLearning#readme-ov-file
GPL-3.0 license	https://github.com/Myth2018/MachineLearning#GPL-3.0-1-ov-file
Please reload this page	https://github.com/Myth2018/MachineLearning
Activity	https://github.com/Myth2018/MachineLearning/activity
0 forks	https://github.com/Myth2018/MachineLearning/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2FMyth2018%2FMachineLearning&report=Myth2018+%28user%29
Releases	https://github.com/Myth2018/MachineLearning/releases
2 tags	https://github.com/Myth2018/MachineLearning/tags
Packages 0	https://github.com/users/Myth2018/packages?repo_name=MachineLearning
Please reload this page	https://github.com/Myth2018/MachineLearning
Contributors	https://github.com/Myth2018/MachineLearning/graphs/contributors
Please reload this page	https://github.com/Myth2018/MachineLearning
	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.