Mixed Data Regression

A typical scenario involves combining numerical inputs like purchase amounts with categorical variables like region to predict customer lifetime value.

Challenges include encoding categorical variables (e.g., one-hot encoding) and avoiding multicollinearity. Ensuring the validity of regression assumptions is also critical to achieving reliable outcomes.