深度linux软件商店５．６．３，适合Ｖ２０．deepin-app-store-data_5.6.3.13+c4-1_all.deb
2023-09-25 19:23:00
2.35MB
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Data Structures and Algorithm Analysis in C++ Third Edition (Mark Allen Weiss) 答案
国外的下载要教师资格。这本书不简单。所谓的编程思想，就在这了。
2023-09-23 17:01:18
3.1MB
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Web DataMining:Exploring Hyperlinks,Contents, and Usage Data 这本经典教材的讲义。
2023-09-21 10:16:14
19.54MB
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Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a new chapter on Variable Selection (Lasso, SCAD and Elastic Net) has also been added. All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers’ preferences are collected in order to construct models of consumer behavior. All of these examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis.
The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features:
A new chapter on Variable Selection (Lasso, SCAD and Elastic Net)
All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de.
The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.
Table of Contents
Part I Descriptive Techniques
Chapter 1 Comparison of Batches
Part II Multivariate Random Variables
Chapter 2 A Short Excursion into Matrix Algebra
Chapter 3 Moving to Higher Dimensions
Chapter 4 Multivariate Distributions
Chapter 5 Theory of the Multinormal
Chapter 6 Theory of Estimation
Chapter 7 Hypothesis Testing
Part III Multivariate Techniques
Chapter 8 Regression Models
Chapter 9 Variable Selection
Chapter 10 Decomposition of Data Matrices by Factors
Chapter 11 Principal Components Analysis
Chapter 12 Factor Analysis
Chapter 13 Cluster Analysis
Chapter 14 Discriminant Analysis
Chapter 15 Correspondence Analysis
Chapter 16 Canonical Correlation Analysis
Chapter 17 Multidimensional Scaling
Chapter 18 Conjoint Measurement Analysis
Chapter 19 Applications in Finance
Chapter 20 Computationally Intensive Techniques
Part IV Appendix
Chapter 21 Symbols and Notations
Chapter 22 Data
2023-09-18 20:12:47
11.83MB
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从Indeed刮取工作
该代码的目的
我为旧金山大学管理学院的一个项目编写了此代码。 该代码的目的是能够获取一个数据集，该数据集捕获来自Indeed的不同职位，可以对其进行分析以了解职位市场需求，职位，技能，行业和位置。
代码结构
导入所需的软件包。
加载作为代码输入的CSV文件，这些文件包含作业搜索和您在每个作业中寻找的关键字。
第1阶段-搜寻工作链接：此代码将创建所有工作搜索的数据集，并提供每个工作的链接。
第2阶段-删除职位的正文：此代码将在创建的数据集中提取每个职位的正文。
第3阶段-文本挖掘职位的正文：此代码将查找所需的关键字以及每项工作所需的最少年限。
阶段4-为工作分类：此代码将工作分为以下几类：工作名称，业务职能/部门和城市。
如何处理搜索和关键字CSV文件
这些文件充当代码的输入，从而使您可以根据需要更轻松地进行编辑。
在运行python代码之前，您应根据需要
2023-09-08 20:15:57
14KB
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提供了C#下的MySql操作
可以像操作Sqlserver一样的操作Mysql
有关具体操作细节
http://download.csdn.net/source/3555627
2023-09-07 09:41:02
152KB
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