《大数据数学基础(Python语言描述)》源数据和代码.rar

上传者: 29602107 | 上传时间: 2021-09-02 19:06:03 | 文件大小: 204KB | 文件类型: RAR
大数据数学基础(Python语言描述

文件下载

资源详情

[{"title":"( 53 个子文件 204KB ) 《大数据数学基础(Python语言描述)》源数据和代码.rar","children":[{"title":"大数据数学基础(Python语言描述)","children":[{"title":"第2章","children":[{"title":"示例程序","children":[{"title":"data","children":null,"spread":false},{"title":"code","children":[{"title":"2.3 微分中值定理与导数的应用.py <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"2.1 函数与极限.py <span style='color:#111;'> 792B </span>","children":null,"spread":false},{"title":"2.2 导数与微分.py <span style='color:#111;'> 1.62KB </span>","children":null,"spread":false},{"title":"2.4 不定积分与定积分.py <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"习题程序","children":[{"title":"code","children":[{"title":"第2题 课后习题.py <span style='color:#111;'> 3.58KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"第4章","children":[{"title":"~$章 课后习题.docx <span style='color:#111;'> 162B </span>","children":null,"spread":false},{"title":"示例程序","children":[{"title":"data","children":null,"spread":false},{"title":"code","children":[{"title":"4.3 矩阵的特征分解与奇异值分解.py <span style='color:#111;'> 2.73KB </span>","children":null,"spread":false},{"title":"4.2 矩阵及其运算.py <span style='color:#111;'> 2.54KB </span>","children":null,"spread":false},{"title":"4.1 行列式.py <span style='color:#111;'> 4.08KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"习题程序","children":[{"title":"code","children":[{"title":"第4题 课后习题.py <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"第1章","children":[{"title":"第1章 选择题答案.txt <span style='color:#111;'> 63B </span>","children":null,"spread":false}],"spread":true},{"title":"第3章","children":[{"title":"示例程序","children":[{"title":"data","children":[{"title":"salary.csv <span style='color:#111;'> 72B </span>","children":null,"spread":false}],"spread":true},{"title":"code","children":[{"title":"3.3 参数估计与假设检验.py <span style='color:#111;'> 359B </span>","children":null,"spread":false},{"title":"3.1 数据分布特征的统计描述.py <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"3.2 概率与概率分布.py <span style='color:#111;'> 2.67KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"习题程序","children":[{"title":"data","children":[{"title":"收视人数.csv <span style='color:#111;'> 148B </span>","children":null,"spread":false}],"spread":true},{"title":"code","children":[{"title":"第3题 课后习题.py <span style='color:#111;'> 4.66KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"第6章","children":[{"title":"示例程序","children":[{"title":"data","children":[{"title":"random.csv <span style='color:#111;'> 2.96KB </span>","children":null,"spread":false},{"title":"student.csv <span style='color:#111;'> 523B </span>","children":null,"spread":false},{"title":"blood.csv <span style='color:#111;'> 157B </span>","children":null,"spread":false},{"title":"sport.csv <span style='color:#111;'> 2.69KB </span>","children":null,"spread":false},{"title":"basketball.csv <span style='color:#111;'> 3.49KB </span>","children":null,"spread":false},{"title":"study.csv <span style='color:#111;'> 139B </span>","children":null,"spread":false},{"title":"fire.csv <span style='color:#111;'> 144B </span>","children":null,"spread":false}],"spread":true},{"title":"tmp","children":[{"title":"类平均法聚类结果2.png <span style='color:#111;'> 15.40KB </span>","children":null,"spread":false},{"title":"类平均法聚类结果1.png <span style='color:#111;'> 5.73KB </span>","children":null,"spread":false},{"title":"cancha_mat_fm.csv <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false},{"title":"defen.csv <span style='color:#111;'> 2.73KB </span>","children":null,"spread":false},{"title":"cancha_mat_pcm.csv <span style='color:#111;'> 1.61KB </span>","children":null,"spread":false},{"title":"最长距离法聚类结果2.png <span style='color:#111;'> 14.00KB </span>","children":null,"spread":false},{"title":"最短距离法聚类结果.png <span style='color:#111;'> 6.93KB </span>","children":null,"spread":false},{"title":"cor_mat.csv <span style='color:#111;'> 1.57KB </span>","children":null,"spread":false},{"title":"最长距离法聚类结果1.png <span style='color:#111;'> 5.63KB </span>","children":null,"spread":false},{"title":"K-Means聚类法聚类结果.png <span style='color:#111;'> 40.75KB </span>","children":null,"spread":false}],"spread":true},{"title":"code","children":[{"title":"6.1 回归分析.py <span style='color:#111;'> 1.57KB </span>","children":null,"spread":false},{"title":"6.4 主成分分析.py <span style='color:#111;'> 2.49KB </span>","children":null,"spread":false},{"title":"6.6 典型相关分析.py <span style='color:#111;'> 554B </span>","children":null,"spread":false},{"title":"6.5 因子分析.py <span style='color:#111;'> 4.25KB </span>","children":null,"spread":false},{"title":"6.2 判别分析.py <span style='color:#111;'> 5.00KB </span>","children":null,"spread":false},{"title":"6.3 聚类分析.py <span style='color:#111;'> 2.88KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"习题程序","children":[{"title":"data","children":[{"title":"point.xlsx <span style='color:#111;'> 9.88KB </span>","children":null,"spread":false},{"title":"hewith.xlsx <span style='color:#111;'> 10.45KB </span>","children":null,"spread":false},{"title":"social.xlsx <span style='color:#111;'> 10.34KB </span>","children":null,"spread":false}],"spread":true},{"title":"code","children":[{"title":"第6题 课后习题.py <span style='color:#111;'> 7.39KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"第5章","children":[{"title":"示例程序","children":[{"title":"data","children":null,"spread":false},{"title":"tmp","children":[{"title":"含噪声曲线拟合.png <span style='color:#111;'> 21.81KB </span>","children":null,"spread":false},{"title":"纤维线性拟合2.png <span style='color:#111;'> 15.26KB </span>","children":null,"spread":false},{"title":"纤维线性拟合1.png <span style='color:#111;'> 14.50KB </span>","children":null,"spread":false},{"title":"Newton插值sin函数.png <span style='color:#111;'> 12.04KB </span>","children":null,"spread":false}],"spread":true},{"title":"code","children":[{"title":"5.3 函数逼近与拟合.py <span style='color:#111;'> 4.51KB </span>","children":null,"spread":false},{"title":"5.2 插值方法.py <span style='color:#111;'> 3.05KB </span>","children":null,"spread":false},{"title":"5.4 非线性方程(组)求根.py <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"5.1 数值计算的基本概念.py <span style='color:#111;'> 281B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"习题程序","children":[{"title":"code","children":[{"title":"第5题 课后习题.py <span style='color:#111;'> 10.01KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"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