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
