机器学习大作业-机器学习分类,回归,聚类算法项目源码(共八次作业,描述里有介绍).zip

上传者: 55305220 | 上传时间: 2022-06-13 11:05:59 | 文件大小: 1.41MB | 文件类型: ZIP
机器学习大作业-机器学习分类,回归,聚类算法项目源码 第一次作业 LinearDiscriminatorAnalysis分类,逻辑回归2,3分类 第二次作业 决策树 第三次作业 MLPClassifier分类器,Percepton线性分类器 第四次作业 一维拟合,二维拟合,支持向量机分类 第五次作业 多项式朴素贝叶斯分类器 第六次作业 GMM聚类算法 第七次作业 AdaBoostClassifier分类器 第八次作业 KMeans,KMedoids聚类

文件下载

资源详情

[{"title":"( 50 个子文件 1.41MB ) 机器学习大作业-机器学习分类,回归,聚类算法项目源码(共八次作业,描述里有介绍).zip","children":[{"title":"python-MachineLearning-master","children":[{"title":"第七次作业","children":[{"title":"AdaBoostClassifier分类器.ipynb <span style='color:#111;'> 91.48KB </span>","children":null,"spread":false},{"title":"train_data.text <span style='color:#111;'> 148.44KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"AdaBoostClassifier分类器-checkpoint.ipynb <span style='color:#111;'> 23.04KB </span>","children":null,"spread":false}],"spread":true},{"title":"test_data.text <span style='color:#111;'> 296.88KB </span>","children":null,"spread":false}],"spread":true},{"title":"第三次作业","children":[{"title":"MLPClassifier分类器.ipynb <span style='color:#111;'> 88.45KB </span>","children":null,"spread":false},{"title":"Perceptron线性分类器.ipynb <span style='color:#111;'> 38.76KB </span>","children":null,"spread":false},{"title":"train_data.text <span style='color:#111;'> 148.44KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"Perceptron线性分类器-checkpoint.ipynb <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"MLPClassifier分类器-checkpoint.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false}],"spread":true},{"title":"test_data.text <span style='color:#111;'> 296.88KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.en.md <span style='color:#111;'> 858B </span>","children":null,"spread":false},{"title":"第五次作业","children":[{"title":"Untitled.ipynb <span style='color:#111;'> 3.32KB </span>","children":null,"spread":false},{"title":"Attribute_Information.txt <span style='color:#111;'> 99B </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"Untitled-checkpoint.ipynb <span style='color:#111;'> 3.05KB </span>","children":null,"spread":false}],"spread":true},{"title":"Train_Data.txt <span style='color:#111;'> 652B </span>","children":null,"spread":false}],"spread":true},{"title":"第一次作业","children":[{"title":"DataSet2.rar <span style='color:#111;'> 131.23KB </span>","children":null,"spread":false},{"title":"DataSet2","children":[{"title":"train_data.text <span style='color:#111;'> 148.44KB </span>","children":null,"spread":false},{"title":"test_data.text <span style='color:#111;'> 296.88KB </span>","children":null,"spread":false}],"spread":true},{"title":"test.txt <span style='color:#111;'> 5.86KB </span>","children":null,"spread":false},{"title":"逻辑回归二分类.ipynb <span style='color:#111;'> 20.15KB </span>","children":null,"spread":false},{"title":"Data.text <span style='color:#111;'> 23.82KB </span>","children":null,"spread":false},{"title":"逻辑回归三分类.ipynb <span style='color:#111;'> 32.32KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"逻辑回归二分类-checkpoint.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"逻辑回归三分类-checkpoint.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"LinearDiscriminantAnalysis分类-checkpoint.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false}],"spread":true},{"title":"LinearDiscriminantAnalysis分类.ipynb <span style='color:#111;'> 3.20KB </span>","children":null,"spread":false}],"spread":true},{"title":"第六次作业","children":[{"title":"GMM聚类算法.ipynb <span style='color:#111;'> 31.94KB </span>","children":null,"spread":false},{"title":"ClusterData1.text <span style='color:#111;'> 24.90KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"GMM聚类算法-checkpoint.ipynb <span style='color:#111;'> 18.52KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"第八次作业","children":[{"title":"ClusterData.text <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false},{"title":"KMeans聚类.ipynb <span style='color:#111;'> 16.78KB </span>","children":null,"spread":false},{"title":"KMedoids聚类.ipynb <span style='color:#111;'> 16.81KB </span>","children":null,"spread":false},{"title":"ClusterData2.text <span style='color:#111;'> 2.99KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"KMeans聚类-checkpoint.ipynb <span style='color:#111;'> 17.55KB </span>","children":null,"spread":false},{"title":"KMedoids聚类-checkpoint.ipynb <span style='color:#111;'> 16.81KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"README.md <span style='color:#111;'> 947B </span>","children":null,"spread":false},{"title":"第四次作业","children":[{"title":"支持向量机分类.ipynb <span style='color:#111;'> 107.35KB </span>","children":null,"spread":false},{"title":"二维拟合.ipynb <span style='color:#111;'> 166.42KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"ml.cpython-38.pyc <span style='color:#111;'> 892B </span>","children":null,"spread":false}],"spread":true},{"title":"train_data.text <span style='color:#111;'> 148.44KB </span>","children":null,"spread":false},{"title":"ml.py <span style='color:#111;'> 976B </span>","children":null,"spread":false},{"title":"一维拟合.ipynb <span style='color:#111;'> 51.95KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"二维拟合-checkpoint.ipynb <span style='color:#111;'> 5.81KB </span>","children":null,"spread":false},{"title":"支持向量机分类-checkpoint.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"一维拟合-checkpoint.ipynb <span style='color:#111;'> 5.56KB </span>","children":null,"spread":false}],"spread":false},{"title":"test_data.text <span style='color:#111;'> 296.88KB </span>","children":null,"spread":false}],"spread":true},{"title":"第二次作业","children":[{"title":"决策树.ipynb <span style='color:#111;'> 129.25KB </span>","children":null,"spread":false},{"title":"lenses.txt <span style='color:#111;'> 696B </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"决策树-checkpoint.ipynb <span style='color:#111;'> 102.51KB </span>","children":null,"spread":false}],"spread":true},{"title":"表1.png <span style='color:#111;'> 53.92KB </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