Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.(Limited-time offer)
Table of Contents
- Data Preparation and Cleaning
- Data Exploration and Visualization
- Unsupervised Learning: Customer Segmentation
- Choosing the Best Segmentation Approach
- Predicting Customer Revenue Using Linear Regression
- Other Regression Techniques and Tools for Evaluation
- Supervised Learning: Predicting Customer Churn
- Fine-Tuning Classification Algorithms
- Modeling Customer Choice
Download Free PDF / Read Online
Author(s): Tommy Blanchard , Debasish Behera , Pranshu Bhatnagar
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 420
Download / View Link(s): This offer has ended.
Free as of 11/28/2021.
Publisher: Packt Publishing
Published: March 2019
Format(s): Online
File size: –
Number of pages: 420
Download / View Link(s): This offer has ended.
Free as of 11/28/2021.