机器学习算法(基本算法和数据集应用代码)

上传者: wysqh2023 | 上传时间: 2021-05-25 22:08:21 | 文件大小: 3.5MB | 文件类型: ZIP
主要包含KNN、SVM、逻辑回归、朴素贝叶斯、BP神经网络、lightGBM、XGBoost等算法,包含基本算法代码和数据集应用的代码。代码源于天池。

文件下载

资源详情

[{"title":"( 25 个子文件 3.5MB ) 机器学习算法(基本算法和数据集应用代码)","children":[{"title":"机器学习算法","children":[{"title":"朴素贝叶斯","children":[{"title":"朴素贝叶斯.py <span style='color:#111;'> 2.49KB </span>","children":null,"spread":false}],"spread":true},{"title":"基于支持向量机的分类预测","children":[{"title":"SVM.py <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"SVMcode.py <span style='color:#111;'> 2.95KB </span>","children":null,"spread":false}],"spread":true},{"title":"基于线性判别模型的分类","children":[{"title":"基于LDA手写数字分类实践.py <span style='color:#111;'> 2.02KB </span>","children":null,"spread":false},{"title":"LDA算法.py <span style='color:#111;'> 2.41KB </span>","children":null,"spread":false}],"spread":true},{"title":"基于LightGBM的分类预测","children":[{"title":"基于英雄联盟数据集的LightGBM分类实战.py <span style='color:#111;'> 11.96KB </span>","children":null,"spread":false},{"title":"high_diamond_ranked_10min.csv <span style='color:#111;'> 1.38MB </span>","children":null,"spread":false}],"spread":true},{"title":"KNN","children":[{"title":"马绞痛数据.py <span style='color:#111;'> 3.77KB </span>","children":null,"spread":false},{"title":"鸢尾花数据集.py <span style='color:#111;'> 679B </span>","children":null,"spread":false},{"title":"horse-colic.names <span style='color:#111;'> 8.80KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 98B </span>","children":null,"spread":false},{"title":"KNN算法分类.py <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"horse-colic.csv <span style='color:#111;'> 24.56KB </span>","children":null,"spread":false},{"title":"KNN算法回归.py <span style='color:#111;'> 1.31KB </span>","children":null,"spread":false}],"spread":true},{"title":"基于决策树的分类预测","children":[{"title":"penguins_raw.csv <span style='color:#111;'> 51.85KB </span>","children":null,"spread":false},{"title":"决策树算法.py <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false},{"title":"基于企鹅数据集的决策树实战.py <span style='color:#111;'> 6.34KB </span>","children":null,"spread":false}],"spread":true},{"title":"基于XGBoost的分类预测","children":[{"title":"train.csv <span style='color:#111;'> 10.94MB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 429B </span>","children":null,"spread":false},{"title":"基于天气数据集的XGBoost分类实战.py <span style='color:#111;'> 13.58KB </span>","children":null,"spread":false}],"spread":true},{"title":"基于BP神经网络的预测","children":[{"title":"基于BP神经网络的乳腺癌分类实践.py <span style='color:#111;'> 3.08KB </span>","children":null,"spread":false},{"title":"基于BP神经网络的预测.py <span style='color:#111;'> 3.91KB </span>","children":null,"spread":false}],"spread":true},{"title":"逻辑回归","children":[{"title":"鸢尾花数据集.py <span style='color:#111;'> 6.67KB </span>","children":null,"spread":false},{"title":"逻辑回归.py <span style='color:#111;'> 3.28KB </span>","children":null,"spread":false},{"title":"mycode.py <span style='color:#111;'> 836B </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

  • 粥小文 :
    用户下载后在一定时间内未进行评价,系统默认好评。
    2021-06-03

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