ENGLISH

Data Mining with Python: Theory, Application, and Case Studies

By Di Wu

Book information

Publisher
CRC Press
Year
2024
ISBN
1040010407, 1040010385, 1032612649, 1032598905, 1003462782, 9781040010402, 9781032612645, 9781032598901, 9781003462781, 9781040010389
Google Books ID
xdw60AEACAAJ
Language
english
Format
PDF
Filesize
13 MB (14143548 bytes)
Series
Chapman & Hall/CRC The Python Series
Edition
1
Pages
415\415
Orientation
portrait
Paginated
yes
Scanned
no
Time added
2025-01-01 01:14:18

Description

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.

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