基于Spark的信用卡评分数据分析

上传者: 44806047 | 上传时间: 2022-04-09 09:05:36 | 文件大小: 4.91MB | 文件类型: ZIP
该项目是我大三下学期的课程设计,它是以和鲸社区的信用卡评分模型构建数据为数据集,以Python为编程语言,使用大数据框架Spark对数据进行处理分析,并对分析结果进行可视化。里面包含我的课程设计报告和完整的代码。希望对你们有帮助。

文件下载

资源详情

[{"title":"( 22 个子文件 4.91MB ) 基于Spark的信用卡评分数据分析","children":[{"title":"project","children":[{"title":"data_analysis.py <span style='color:#111;'> 6.41KB </span>","children":null,"spread":false},{"title":"input","children":[{"title":"cs-training.csv <span style='color:#111;'> 7.21MB </span>","children":null,"spread":false},{"title":"data.csv <span style='color:#111;'> 5.46MB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"data_web.py <span style='color:#111;'> 10.88KB </span>","children":null,"spread":false},{"title":"web.py <span style='color:#111;'> 352B </span>","children":null,"spread":false},{"title":"课程设计报告.doc <span style='color:#111;'> 1.15MB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"data_analysis.cpython-38.pyc <span style='color:#111;'> 3.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"age_OverDue.html <span style='color:#111;'> 28.54KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 10.00KB </span>","children":null,"spread":false},{"title":"realestateLoans_OverDue.html <span style='color:#111;'> 15.77KB </span>","children":null,"spread":false},{"title":"meanIncome_OverDue.html <span style='color:#111;'> 15.85KB </span>","children":null,"spread":false},{"title":".idea","children":[{"title":"project.iml <span style='color:#111;'> 402B </span>","children":null,"spread":false},{"title":"misc.xml <span style='color:#111;'> 188B </span>","children":null,"spread":false},{"title":"modules.xml <span style='color:#111;'> 273B </span>","children":null,"spread":false},{"title":"workspace.xml <span style='color:#111;'> 7.60KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 50B </span>","children":null,"spread":false},{"title":"inspectionProfiles","children":[{"title":"Project_Default.xml <span style='color:#111;'> 439B </span>","children":null,"spread":false},{"title":"profiles_settings.xml <span style='color:#111;'> 174B </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"families_OverDue.html <span style='color:#111;'> 15.70KB </span>","children":null,"spread":false},{"title":"spark-warehouse","children":null,"spread":false},{"title":"pastDue_OverDue.html <span style='color:#111;'> 19.74KB </span>","children":null,"spread":false},{"title":"data_preprocessing.py <span style='color:#111;'> 615B </span>","children":null,"spread":false}],"spread":false}],"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