z120379372的博客

Tableau 10.4 破解版，win10可用！！！无需时间驻留。

《利用Python进行数据分析》配套代码与数据，这是第一版。 第二版原版书籍及中文版见http://download.csdn.net/download/z120379372/10173956

Learning_Tableau（英文版） 和 迷你书Tableau数据可视化实战（中文版，只有两章，所以是迷你书）

2017第二版主要更新： 1、所有代码，包括Python教程，都升级到了Python3.6（第一版用的是Python2.7） 2、更新了Python的安装介绍。这次改用Anaconda Python发行版，以及其他一些需要的Python包 3、使用了最新的2017版pandas 4、新增了一章，用来介绍pandas的高级应用工具，和其他一些有用的小贴士 5、简单介绍了如何使用statsmodels和scikit-learn

本书展示了如何在代码中集成和测试机器学习方面的算法。通过书中的图表和重点标记的代码示例，本书着重介绍了 Python 的 NumPy、Pandas、Scikit-Learn 和 SciPy 等数据科学相关类库的测试。

VMwareTools-10.1.15-6627299.tar.gz 用于VMware虚拟机调整ubuntu分辨率。

用Python爬取的广州链家二手房数据，时间是2017年11月29日。

本书重点阐释自动化数据抓取和分析技术，适用于初中级用户。作者以简洁的代码、详细的讲解以及真实的案例，分析了大数据在社会科学领域的运用。作者尽可能回避晦涩的术语和高深的理论，通过非常实用的组件探讨很多有趣的实际问题。这种深入浅出的讲解方式有利于我们快速上手，在循序渐进中学习，并能把学到的技术应用到实际研究项目中。

用Python爬取的广州链家二手房数据，时间是2017年11月29日。

Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the R Development Core Team.

This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison''s Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it''s easy to: * produce handsome, publication-quality plots, with automatic legends created from the plot specification * superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales * add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression * save any ggplot2 plot (or part thereof) for later modification or reuse * create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots * approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot. This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you''ll learn everything you need in the book. After reading this book you''ll be able to produce graphics customized precisely for your problems, and you''ll find it easy to get graphics out of your head and on to the screen or page.

1.简介 2.从qplot开始入门 3.语法突破 4. 用图层构建图像 5.工具箱 6. 标度、坐标轴和图例 7.定位 8. 精雕细琢 9. 数据操作 10．减少重复性工作 附录A 不同语法间的转换 附录B 图形属性的定义 附录C 用grid操作图形

This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to: produce handsome, publication-quality plots with automatic legends created from the plot specification superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.

小蚊子团队全新力作 满书写尽数据分析实战技巧 Access、SQL、PowerPivot、Excel数据分析工具库、水晶易表、VBA一个都不少 17位业内专家的鼎力推荐 1、 懂点Excel就能上手数据分析：小蚊子团队根据多年数据分析经验，围绕最常用的Excel工具，以情景故事的方式，通过实例来讲解数据分析的全流程。干货，全是干货！ 2、 挖掘Excel黄金搭档的潜能：Access、QUERY、SQL、PowerPivot、Excel数据分析工具库、水晶易表、VBA一个都不少。挖掘每个搭档的最佳潜能，提高分析能力与效率。 3、 遭遇千万数据也不慌：利用工具ACCESS+SQL突破Excel在数据量级上的限制，面对千万级的数据也能轻松分析； 4、 好看实用的交互型图表：只要Excel数据，外加水晶易表，轻松实现交互式动态图表。 5、自动完成重复性的分析工作：用好VBA，帮你自动完成EXCEL、PPT格式的分析报告，让我们有更多时间提升自我，迎接赞扬的目光。

1. A Gentle Introduction to Machine Learning 2. Important Elements in Machine Learning 3. Feature Selection and Feature Engineering 4. Linear Regression 5. Logistic Regression 6. Naive Bayes 7. Support Vector Machines 8. Decision Trees and Ensemble Learning 9. Clustering Fundamentals 10. Hierarchical Clustering 11. Introduction to Recommendation Systems 12. Introduction to Natural Language Processing 13. Topic Modeling and Sentiment Analysis in NLP 14. A Brief Introduction to Deep Learning and TensorFlow 15. Creating a Machine Learning Architecture

--Resolve complex machine learning problems and explore deep learning --Learn to use Python code for implementing a range of machine learning algorithms and techniques --A practical tutorial that tackles real-world computing problems through a rigorous and effective approach