Course description
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Upcoming start dates
1 start date available
Training Course Content
In this course, you'll learn how to use Python to train decision trees and tree-based models with the user-friendly scikit-learn machine learning library. You'll understand the advantages and shortcomings of trees and demonstrate how ensembling can alleviate these shortcomings, all while practicing on real-world datasets. Finally, you'll also understand how to tune the most influential hyperparameters in order to get the most out of your models.
Why choose DataCamp
More than 14 Million learners worldwide
80% of the Fortune 1000 use DataCamp
Ads