Data science for marketing analytics : a practical guide to forming a killer marketing strategy through data analysis with Python /

Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language. Unleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will h...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Baig, Mirza Rahim (Autor), Govindan, Gururajan (Autor), Shrimali, Vishwesh Ravi (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2021.
Edición:Second edition.
Temas:
Consumer behavior > Data processing.
Marketing > Data processing.
Python (Computer program language)
Consommateurs > Comportement > Informatique.
Marketing > Informatique.
Python (Langage de programmation)
Consumer behavior > Data processing
Marketing > Data processing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Table of Contents Data Preparation and Cleaning Data Exploration and Visualization Unsupervised Learning and Customer Segmentation Evaluating and Choosing the Best Segmentation Approach Predicting Customer Revenue Using Linear Regression More Tools and Techniques for Evaluating Regression Models Supervised Learning: Predicting Customer Churn Fine Tuning Classification Algorithms Multiclass Classification Algorithms.

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