Data Mining with Python (Chapman & Hall/CRC The Python Series)

by: Di Wu (Author)
Edition: 1st

Publication Date: April 10, 2024

Language: English

Print Length: 414 pages

ISBN-10: 1032598905

ISBN-13: 9781032598901

Book 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 pattes and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to leaing 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 leaing experience, this book will help its readers to gain practical skills to implement Data Mining techniques in their work.
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 pattes and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to leaing 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 leaing experience, this book will help its readers to gain practical skills to implement Data Mining techniques in their work.