Practical Data Science using Python - Decision Tree - Model Optimization using Grid Search Cross Validation

The video tutorial explains the concept of hyperparameters in decision trees and introduces Grid Search CV with K-Fold Cross Validation as a method to optimize these parameters. It details the implementation process, including setting up the parameter grid and analyzing results. The tutorial also covers tuning multiple parameters simultaneously and evaluating the final model's performance.

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