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Data Science for Marketing Analytics - Second Edition
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Table of Contents

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
  • About the Author

    Mirza Rahim Baig is an avid problem solver who uses deep learning and artificial intelligence to solve complex business problems. Gururajan Govindan is a data scientist, intrapreneur, and trainer with more than seven years of experience working across domains such as finance and insurance. Vishwesh Ravi Shrimali graduated from BITS Pilani, where he studied mechanical engineering. He has a keen interest in programming and AI and has applied that interest in mechanical engineering projects.

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