Marketing and Analytics Intern Interview Questions and Answers

I use techniques like feature selection, cross-validation, and regularization to deal with noisy and overfitting data.

• Perform feature selection to remove irrelevant or redundant features

• Use cross-validation to evaluate model performance and prevent overfitting

• Apply regularization techniques like L1 or L2 regularization to penalize complex models

• Consider using ensemble methods like random forests or gradient boosting to reduce overfitting