Wu Di
Wu Di - Data Mining With Python Theory Application And Case Studies - Paperback
Wu Di - Data Mining With Python Theory Application And Case Studies - Paperback
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Binding: Paperback
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.
Title: Data Mining With Python Theory Application And Case Studies
Author(s): Wu Di
Publisher: Taylor & Francis Ltd
Barcode: 9781032598901
Pages: 390 Pages, 222 Halftones, Color; 222 Illustrations, Color
Publication Date: 4/10/2024
Series: Chapman & Hall/CRC The Python Series
Category: Computer Science
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.
Title: Data Mining With Python Theory Application And Case Studies
Author(s): Wu Di
Publisher: Taylor & Francis Ltd
Barcode: 9781032598901
Pages: 390 Pages, 222 Halftones, Color; 222 Illustrations, Color
Publication Date: 4/10/2024
Series: Chapman & Hall/CRC The Python Series
Category: Computer Science
