Data mining for business analytics : concepts, techniques and applications in Python / Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel.
Tipo de material: TextoEditor: Hoboken, NJ : Distribuidor: John Wiley & Sons, Inc., Fecha de copyright: ©2020Descripción: xxix, 574 paginas, : ilustraciones, tablas; 26 X 18 cmTipo de contenido:- texto
- sin medio
- volumen
- 9781119549864
- 9781119549857
- HF 5548 .2 G24 2020
Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Signatura topográfica | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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Libros | Biblioteca Antonio Enriquez Savignac | Biblioteca Antonio Enriquez Savignac | Colección consulta | HF 5548 .2 G24 2020 (Navegar estantería(Abre debajo)) | Ejem. 1 | No para préstamo (Préstamo interno) | Ingeniería en Datos e Inteligencia Organizacional | 042129 |
Navegando Biblioteca Antonio Enriquez Savignac estanterías, Colección: Colección consulta Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
Includes bibliographical references and index.
"This book supplies insightful, detailed guidance on fundamental data mining techniques. The book guides readers through the use of Python software for developing predictive models and techniques in order to describe and find patterns in data. The authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, with a focus on analytics rather than programming. The book includes discussions of Python subroutines, allowing readers to work hands-on with the provided data. Throughout the book, applications of the discussed topics focus on the business problem as motivation and avoid unnecessary statistical theory. Topics covered include time series, text mining, and dimension reduction. Each chapter concludes with exercises that allow readers to expand their comprehension of the presented material. Over a dozen cases that require use of the different data mining techniques are introduced, and a related Web site features over two dozen data sets, exercise solutions, PowerPoint slides, and case solutions"-- Provided by publisher.
Description based on print version record and CIP data provided by publisher.
Ingeniería de Datos e Intelegiencia
NUEVOSDATOS