Lectures related to Decision Tree Classification

Related lectures (32)

Discusses decision trees and random forests, focusing on their structure, optimization, and application in regression and classification tasks.

Explores decision trees, overfitting elimination, boosting techniques, and their practical applications in predictive modeling.