Machine Learning, Python, Linear Regression, Gradient Descent, Regression Analysis.
huber which adjusts the squared_error by using a linear loss instead of a squared loss beyond a certain distance called epsilon. This reduces the emphasis on accurately predicting outliers in the data. The other one is epsilon_insensitive which treats errors less than epsilon as insignificant and