What are some advanced filter method techniques in data analysis?

What are some advanced filter method techniques in data analysis?

Advanced filter methods include techniques like recursive feature elimination, LASSO regression, and ensemble methods.

Can you explain recursive feature elimination?

Sure! Recursive feature elimination (RFE) is a technique that recursively removes the least important features based on a model's performance.

How does LASSO regression work?

LASSO regression adds a penalty equal to the absolute value of the magnitude of coefficients, which helps in feature selection.

What are ensemble methods?

Ensemble methods combine multiple models to improve overall performance, such as bagging and boosting techniques.

Can you give examples of bagging and boosting?

Certainly! Bagging includes methods like Random Forest, while boosting includes techniques like AdaBoost and Gradient Boosting.