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
