使用Python进行数据挖掘：理论、应用和案例研究（Chapman&Hall/CRC Python系列）（True EPUB）

English | 2024 | ISBN: 1032598905 | 593 pages | True EPUB | 8.9 MB

Data is everywhere and it’s growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.

The contents are organized based on the Data Mining pipeline, so readers can naturally progress step by step through the process. Topics, methods, and tools are explained in three aspects: “What it is” as a theoretical background, “why we need it” as an application orientation, and “how we do it” as a case study.

This book is designed to give students, data scientists, and business analysts an understanding of Data Mining concepts in an applicable way. Through interactive tutorials that can be run, modified, and used for a more comprehensive learning experience, this book will help its readers to gain practical skills to implement Data Mining techniques in their work.

英文| 2024 |国际标准图书编号：1032598905 | 593页|真正的EPUB | 8.9 MB 数据无处不在，并且以前所未有的速度增长。但理解所有这些数据是一个挑战。数据挖掘是从大型数据集中发现模式和知识的过程，使用Python的数据挖掘侧重于学习数据挖掘的实践方法。它展示了如何使用Python包来实现数据挖掘管道，即收集、集成、操纵、清理、处理、组织和分析数据以获取知识。 内容是基于数据挖掘管道组织的，因此读者可以自然地逐步完成整个过程。主题、方法和工具从三个方面进行解释：“它是什么”作为理论背景，“我们为什么需要它”作为应用方向，以及“我们如何做”作为案例研究。 本书旨在让学生、数据科学家和业务分析师以适用的方式了解数据挖掘概念。通过可以运行、修改和用于更全面学习体验的交互式教程，本书将帮助读者获得在工作中实施数据挖掘技术的实用技能。

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