data analysis and interpretation book

How to quickly get started using Python for financial data analysisIntroduction:This series of posts "quantitative small classroom", through practical cases to teach beginners to use Python, pandas for financial data processing, hope to be helpful to the big home." must -read article": "10 400 times-fold strategy sharing-video-line-guided code""All series article summary": http://bbs.pinggu.org/thread-39501

improve the investment efficiency, the priority of network optimization is set first.2. Market and precision marketing.(1) Customer portrait. The company can be based on customer terminal information, location information, call behavior, mobile Internet behavior trajectory and other rich data, for each customer to play demographic characteristics, consumption behavior, Internet behavior and interest hobby tag, and with the help of

Pyspark processing data and charting analysisPyspark Introduction The official interpretation of Pyspark: "Pyspark is the Python API for Spark". That is, the Python programming interface that Pyspark provides for spark. Spark uses py4j to enable Python to interoperate with Java, enabling the use of Python to write spark programs. Spark also provides Pyspark, a spark python shell, that can be u

approach, I suggest you read the fourth chapter of the Howard Seltman online book, "exploratory Data analysis". (http://www.stat.cmu.edu/~hseltman/309/Book/chapter4.pdf)Build your own Kernel.You should consider creating your own kernel on the Kaggle. This is a good way to force yourself to write the program clearly. O

Data Analysis example--meteorological data first, the experiment introduction This experiment will analyze and visualize the meteorological data of the northern coast of Italy. In the experiment process, we will first use Python Matplotlib Library of data for the graph pro

Abstract: Data analysis has become indispensable, and almost every company relies on data analysis for decision-making. In my online gaming field, data analysis is one of the most important means to plan new functions and optimi

to use their home vs, in addition to bulky operation complex, but also a very powerful IDE, the development of large-scale project must, but beginners will forget it, not very recommended ...19. The compiler for C + +, roughly divided into Microsoft and GNU bar, Microsoft's general integration in its own IDE, GNU has GCC (C language) and g++ (c + +), and so on, where the MinGW used in Cfree is a collection of GCC and g++, if you want to use the latest version, You can download the configuration

110. Kobe.bryan Career data reading and introduction. flv│?? │?? ├ class 111. Visualization of feature data. flv_d.flv│?? │?? └ class 112. Data preprocessing. flv_d.flv│?? ├│?? │?? ├ Lesson 113. Build the model using Scikit-learn. flv_d.flv│?? │?? ├ class 114. Crew data Analysis