Data Science, Machine Learning, Linear Models, Regression, Python.
our sample use case we should never have negative values. We see a negative prediction because the Linear Regression model is assuming a Gaussian Distribution as its value domain, which means values can be any negative or positive value. Therefore, this type of model is allowing negative value