Python机器学习关联规则资源(apriori算法、fpgrowth算法)原理讲解

上传者: 47723732 | 上传时间: 2022-05-11 22:06:39 | 文件大小: 4MB | 文件类型: RAR
1、包含apriori算法的代码操作和讲解以及原理的文档PPT 2、包含fpgrowth算法的代码操作和讲解以及原理的文档PPT 3、关联规则的PPT 4、通过这些可以理解到关联规则的运用实际代码 5、值得推荐! 6、下载中之后有问题可以私信博主!!!(必回)

文件下载

资源详情

[{"title":"( 29 个子文件 4MB ) Python机器学习关联规则资源(apriori算法、fpgrowth算法)原理讲解","children":[{"title":"关联规则","children":[{"title":"apriori教材","children":[{"title":"apriori.py <span style='color:#111;'> 7.23KB </span>","children":null,"spread":false},{"title":"orders.xls <span style='color:#111;'> 18.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"apriori","children":[{"title":"apriori_rules.xls <span style='color:#111;'> 5.50KB </span>","children":null,"spread":false},{"title":"Apriori.py <span style='color:#111;'> 2.60KB </span>","children":null,"spread":false},{"title":"cal_apriori.py <span style='color:#111;'> 934B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"Apriori.cpython-37.pyc <span style='color:#111;'> 2.27KB </span>","children":null,"spread":false}],"spread":true},{"title":"orders.xls <span style='color:#111;'> 18.00KB </span>","children":null,"spread":false},{"title":"menu_orders.xls <span style='color:#111;'> 25.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"fpgrowth","children":[{"title":"main.py <span style='color:#111;'> 731B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"fpgrowth.cpython-37.pyc <span style='color:#111;'> 5.58KB </span>","children":null,"spread":false}],"spread":true},{"title":"fiindrules.py <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"misc.xml <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":".name <span style='color:#111;'> 11B </span>","children":null,"spread":false},{"title":"fpgrowth.iml <span style='color:#111;'> 405B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 275B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 3.73KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 50B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"try.py <span style='color:#111;'> 835B </span>","children":null,"spread":false},{"title":"fpgrowth.py <span style='color:#111;'> 6.51KB </span>","children":null,"spread":false}],"spread":true},{"title":"数仓与挖掘第08章 (关联规则).pptx <span style='color:#111;'> 2.76MB </span>","children":null,"spread":false},{"title":"mlxtend","children":[{"title":"课堂练习.py <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":"associationrules.py <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"apriori.py <span style='color:#111;'> 1.58KB </span>","children":null,"spread":false},{"title":"findrules.py <span style='color:#111;'> 2.02KB </span>","children":null,"spread":false},{"title":"orders.xls <span style='color:#111;'> 18.00KB </span>","children":null,"spread":false},{"title":"getrules.py <span style='color:#111;'> 1.93KB </span>","children":null,"spread":false},{"title":"retail.dat <span style='color:#111;'> 3.97MB </span>","children":null,"spread":false},{"title":"retail_mini.dat <span style='color:#111;'> 17.39KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明