Python data Analysis and mining combat Pdf__python

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Introduction to the content

More than 10 data mining senior experts and researchers, more than 10 years of large data mining consulting and implementation experience crystallization. From the application of data mining, based on the real cases of power, aviation, medical, Internet, manufacturing and public service, this paper introduces Python data mining modeling process, which is very practical.

This book altogether 15 chapters, is divided into two parts: The basic article, the actual combat article. Introduction of the Basic principles of data mining, the actual combat chapter introduces a real case, through the analysis of simple cases, so that the reader unknowingly through case practice to obtain data mining project experience, and quickly understand seemingly difficult to understand the data mining theory. In the process of reading, readers should make full use of the case modeling data accompanying with the book, and use the relevant data mining modeling tools to quickly understand the relevant knowledge and theory through the computer experiments.

Basic (1th to 5th), the 1th chapter is the main content of data Mining overview; The 2nd chapter describes the Data Mining modeling tool used in this book, the Python language, and the modeling process of data Mining in the 3rd Chapter, 4th chapter and 5th chapter, including data exploration, The common algorithms and principles of data preprocessing and mining modeling are introduced.

The 6th to 15th chapter focuses on the analysis of the application of data mining technology in power, aviation, medical, Internet, manufacturing and public service industries. In the case structure organization, this book is to introduce the case background and the excavation goal first, then elaborated the analysis method and the process, finally completes the model construction order to carry on, the modeling process key link, inserts the program realization code. Finally, through the computer practice, deepen the reader's understanding of data mining technology in case application.

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