ENGLISH

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

By Wu , Di

Book information

Publisher
CRC Press
Year
2024
ISBN
9781032612645, 9781040010402, 9781032598901, 9781003462781
Language
english
Format
EPUB
Filesize
9 MB (9331794 bytes)
Series
the python series
Pages
593\0
Orientation
landscape
Paginated
yes
Scanned
no
Time added
2024-09-07 11:33:14

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 fulfil 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 gain practical skills to implement Data Mining techniques in their work.

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