Tag Archives: Random Forest

ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 14

Selecting the final model This is the final part of the module ‘Decision Trees and Ensemble Learning – Part 14.’ This time, we revisit the best model of each type and evaluate their performance on the validation data. Based on these evaluations, we will select the overall best model and train it on the fullContinue reading “ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 14”

ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 9

Ensemble and random forest This article discusses the concept of Random Forest as a technique for combining multiple decision trees. Before diving into Random Forest, we’ll explore the concept of ensemble modeling, where multiple models act as a ‘board of experts.’ The final part of the article will cover the process of tuning a RandomContinue reading “ML Zoomcamp 2023 – Decision Trees and Ensemble Learning– Part 9”