Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Training the Model on the Traini

The video tutorial explains how to use the linear regression model from Sklearn. It begins by importing the linear regression class, then assigns it to a variable named 'regressor'. The tutorial proceeds to demonstrate how to fit the training dataset, X_train and Y_train, to the linear regression model using the 'regressor.fit' method, enabling the training process.

What are the names of the training data sets used in the fitting process?

What is the purpose of fitting the training data to the linear regression class?