机器学习相关代码实现.zip

上传者: m0_64548999 | 上传时间: 2022-10-09 16:38:18 | 文件大小: 11.34MB | 文件类型: ZIP
机器学习相关代码实现.zip

文件下载

资源详情

[{"title":"( 31 个子文件 11.34MB ) 机器学习相关代码实现.zip","children":[{"title":"机器学习","children":[{"title":"随机森林分类","children":[{"title":"python","children":[{"title":"随机森林分类.assets","children":[{"title":"test_set.jpg <span style='color:#111;'> 36.86KB </span>","children":null,"spread":false}],"spread":true},{"title":"example1.ipynb <span style='color:#111;'> 10.19KB </span>","children":null,"spread":false},{"title":"example1.py <span style='color:#111;'> 9.59KB </span>","children":null,"spread":false},{"title":"随机森林分类.md <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false}],"spread":true},{"title":"matlab","children":null,"spread":false}],"spread":true},{"title":"主成分分析法","children":[{"title":"python","children":[{"title":"example1.ipynb <span style='color:#111;'> 39.67KB </span>","children":null,"spread":false},{"title":"example1.py <span style='color:#111;'> 930B </span>","children":null,"spread":false}],"spread":true},{"title":"matlab","children":null,"spread":false}],"spread":true},{"title":"支持向量机","children":[{"title":"python","children":[{"title":"svm_test_data.txt <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"example2.ipynb <span style='color:#111;'> 106.80KB </span>","children":null,"spread":false},{"title":"支持向量机.md <span style='color:#111;'> 10.30KB </span>","children":null,"spread":false},{"title":"支持向量机.assets","children":null,"spread":false},{"title":"example1.ipynb <span style='color:#111;'> 52.44KB </span>","children":null,"spread":false},{"title":"example3.py <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"example1.py <span style='color:#111;'> 12.47KB </span>","children":null,"spread":false},{"title":"example3.ipynb <span style='color:#111;'> 73.98KB </span>","children":null,"spread":false}],"spread":true},{"title":"matlab","children":null,"spread":false}],"spread":true},{"title":"AdaBoost","children":[{"title":"boost.py <span style='color:#111;'> 4.53KB </span>","children":null,"spread":false},{"title":"horseColic_adaboost.py <span style='color:#111;'> 808B </span>","children":null,"spread":false},{"title":"Data","children":[{"title":"horseColicTest2.txt <span style='color:#111;'> 13.23KB </span>","children":null,"spread":false},{"title":"horseColicTraining2.txt <span style='color:#111;'> 59.06KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"决策树","children":[{"title":"python","children":[{"title":"决策树分类模型Python代码.txt <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false}],"spread":true},{"title":"matlab","children":null,"spread":false}],"spread":true},{"title":"聚类","children":[{"title":"K-means","children":[{"title":"python","children":[{"title":"example.ipynb <span style='color:#111;'> 31.23KB </span>","children":null,"spread":false}],"spread":true},{"title":"matlab","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"神经网络","children":[{"title":"分类","children":[{"title":"python","children":[{"title":"example.py <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"example1.py <span style='color:#111;'> 4.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"matlab","children":null,"spread":false}],"spread":true},{"title":"BP","children":[{"title":"python","children":[{"title":"example.py <span style='color:#111;'> 6.13KB </span>","children":null,"spread":false}],"spread":true},{"title":"matlab","children":null,"spread":false}],"spread":true},{"title":"卷积","children":[{"title":"python","children":[{"title":"input_data.py <span style='color:#111;'> 6.61KB </span>","children":null,"spread":false},{"title":"example1.ipynb <span style='color:#111;'> 10.66KB </span>","children":null,"spread":false},{"title":"example1.py <span style='color:#111;'> 6.21KB </span>","children":null,"spread":false},{"title":"MNIST_data","children":[{"title":"t10k-images-idx3-ubyte.gz <span style='color:#111;'> 1.57MB </span>","children":null,"spread":false},{"title":"t10k-labels-idx1-ubyte.gz <span style='color:#111;'> 4.44KB </span>","children":null,"spread":false},{"title":"train-labels-idx1-ubyte.gz <span style='color:#111;'> 28.20KB </span>","children":null,"spread":false},{"title":"train-images-idx3-ubyte.gz <span style='color:#111;'> 9.45MB </span>","children":null,"spread":false}],"spread":false}],"spread":true},{"title":"matlab","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"逻辑回归","children":[{"title":"python","children":[{"title":"example.py <span style='color:#111;'> 5.63KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"LogiReg_data.txt <span style='color:#111;'> 3.69KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"matlab","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