机器学习实验.zip

上传者: zhangli0910 | 上传时间: 2021-05-07 21:00:16 | 文件大小: 4.65MB | 文件类型: ZIP
机器学习实验,内含实验指导书(PPT与Word)和参考代码,包括线性回归模型、支持向量机模型、贝叶斯分类以及基于tensorflow实现cnn。

文件下载

资源详情

[{"title":"( 23 个子文件 4.65MB ) 机器学习实验.zip","children":[{"title":"ML-Experiments-master","children":[{"title":"README.md <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"机器学习实验准备","children":[{"title":"实验三 贝叶斯分类实验指导书.doc <span style='color:#111;'> 830.00KB </span>","children":null,"spread":false},{"title":"文件说明.txt <span style='color:#111;'> 408B </span>","children":null,"spread":false},{"title":"参考代码","children":[{"title":"bayes_classify_demo","children":[{"title":"test.csv <span style='color:#111;'> 98B </span>","children":null,"spread":false},{"title":"watermelon_clf.py <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false},{"title":"watermelon3_0_En.csv <span style='color:#111;'> 552B </span>","children":null,"spread":false}],"spread":true},{"title":"SVM","children":[{"title":"SupportVectorMachine.py <span style='color:#111;'> 2.46KB </span>","children":null,"spread":false}],"spread":true},{"title":"cnn-text-classification-tf","children":[{"title":"train.py <span style='color:#111;'> 9.26KB </span>","children":null,"spread":false},{"title":"data_helpers.py <span style='color:#111;'> 2.92KB </span>","children":null,"spread":false},{"title":"eval.py <span style='color:#111;'> 3.65KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"rt-polaritydata","children":[{"title":"rt-polarity.pos <span style='color:#111;'> 611.71KB </span>","children":null,"spread":false},{"title":"rt-polarity.neg <span style='color:#111;'> 598.15KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"readme.txt <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false},{"title":"text_cnn.py <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"LinearRegression","children":[{"title":"LinearRegression.py <span style='color:#111;'> 3.21KB </span>","children":null,"spread":false},{"title":"Data","children":[{"title":"Folds5x2_pp.csv <span style='color:#111;'> 301.46KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"实验三 贝叶斯分类解决西瓜问题.pptx <span style='color:#111;'> 589.88KB </span>","children":null,"spread":false},{"title":"实验二 支持向量机模型实验指导.pptx <span style='color:#111;'> 531.73KB </span>","children":null,"spread":false},{"title":"实验四 基于tensorflow实现cnn文本处理实验指导书.doc <span style='color:#111;'> 1.10MB </span>","children":null,"spread":false},{"title":"实验二 支持向量机实验指导书.doc <span style='color:#111;'> 105.98KB </span>","children":null,"spread":false},{"title":"实验四 基于tensorflow实现CNN文本分类.pptx <span style='color:#111;'> 697.76KB </span>","children":null,"spread":false},{"title":"实验一 线性回归实验指导书.doc <span style='color:#111;'> 108.04KB </span>","children":null,"spread":false},{"title":"实验一 线性回归模型实验指导.pptx <span style='color:#111;'> 470.61KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

  • spvm2000 :
    就是github下载的,只有四个实验
    2021-11-03

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