In this free-to-use follow-along Python Sklearn guided project in Python. In this beginner simple ML project, we will use ensemble methods to predict the price of smartwatches based on their characteristics. Will will focus this project on ensemble methods in a head-to-head competition. We will use Gradient Boosting Regressor, Random Forest Regressor, Bagging Regressor, and Voting Regressor to find out Sklearn's best ensemble method.
Simple Ensembles Python Machine Learning Guided Project - Regression Smart Watch Prices-Lvl3, 26 mn
Updated: Oct 5, 2023
Seaborn residual plot of Ensemble Method Errors