Data Science, Machine Learning, Linear Regression, Ridge Regression, Lasso Regression.
line. ε is the error term that represents the difference between the actual and predicted values. The aim is to find the values of β0 and β1 that minimize the sum of the squared differences between the predicted and actual values of the dependent variable. This method of finding the best parameters