Ensemble Machine Learning Techniques 2.5: Ensemble Learning for Regression

The video tutorial covers the implementation of averaging using different models. It begins with setting up the environment by importing necessary libraries and preparing the dataset. The tutorial then demonstrates training two models, linear regression and SVR, and evaluates their performance using mean squared error. The video concludes with a brief introduction to ensemble learning techniques and a preview of the next section on bagging.

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