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Data Science for Marketing Analytics - Second Edition

You're reading from Data Science for Marketing Analytics - Second Edition

Product type Book

Published in Sep 2021

Publisher Packt

ISBN-13 9781800560475

Pages 636 pages

Edition 2nd Edition

Languages

Concepts

Authors (3):

Mirza Rahim Baig

Gururajan Govindan

Vishwesh Ravi Shrimali

View More author details

Table of Contents (11) Chapters

Preface

1. Data Preparation and Cleaning

2. Data Exploration and Visualization

3. Unsupervised Learning and Customer Segmentation

4. Evaluating and Choosing the Best Segmentation Approach

5. Predicting Customer Revenue Using Linear Regression

6. More Tools and Techniques for Evaluating Regression Models

7. Supervised Learning: Predicting Customer Churn

8. Fine-Tuning Classification Algorithms

9. Multiclass Classification Algorithms

Appendix

pandas

pandas is a software library written in Python and is the basic building block for data manipulation and analysis. It offers a collection of high-performance, easy-to-use, and intuitive data structures and analysis tools that are of great use to marketing analysts and data scientists alike. The library comes as a default package when you install Anaconda (refer to the Preface for detailed instructions).

Note

Before you run the code in this book, it is recommended that you install and set up the virtual environment using the environment.yml file we have provided in the GitHub repository of this book.

You can find the environment.yml file at the following link: https://packt.link/dBv1k.

It will install all the required libraries and ensure that the version numbers of the libraries on your system match with ours. Refer to the Preface for more instructions on how to set this up.

However, if you're using any other distribution where pandas is not pre-installed, you...

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Authors (3)

Mirza Rahim Baig

Mirza Rahim Baig is a Data Science and Artificial Intelligence leader with over 13 years of experience across e-commerce, healthcare, and marketing. He currently holds the position of leading Product Analytics at Marketing Services for Zalando, Europe's largest online fashion platform. In addition, he serves as a Subject Matter Expert and faculty member for MS level programs at prominent Ed-Tech platforms and institutes in India. He is also the lead author of two books, 'Data Science for Marketing Analytics' and 'The Deep Learning Workshop,' both published by Packt. He is recognized as a thought leader in my field and frequently participates as a guest speaker at various forums.

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Gururajan Govindan

Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. He is also an author of The Data Analysis Workshop, a book focusing on data analytics. He is well known for his expertise in data-driven decision-making and machine learning with Python.

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Vishwesh Ravi Shrimali

Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering, in 2018. He also completed his Masters in Machine Learning and AI from LJMU in 2021. He has authored - Machine learning for OpenCV (2nd edition), Computer Vision Workshop and Data Science for Marketing Analytics (2nd edition) by Packt. When he is not writing blogs or working on projects, he likes to go on long walks or play his acoustic guitar.

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