top of page

Simple Ensembles Python Machine Learning Guided Project - Regression Smart Watch Prices-Lvl3, 26 mn

Updated: Oct 5, 2023


free, free academic, instruct, instructional, instructional education, free python learn, seaborn, python, project, data analysis project, pandas, analyze, sklearn, linear regression, gradient boosting regressor, random forest regressor, free machine learning guided project
Seaborn residual plot of Ensemble Method Errors


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.

Want to read more?

Subscribe to datasimple.education to keep reading this exclusive post.

417 views1 comment

Comentarios

Obtuvo 0 de 5 estrellas.
No se pudieron cargar los comentarios
Parece que hubo un problema técnico. Intenta volver a conectarte o actualiza la página.
bottom of page