Model Fitting on a Loss Function

This lesson will focus on implementing the mean squared error loss function in Python and applying optimization to obtain the best performing model.

In the last lesson, we learned how loss functions can be used in theory to find out the best model for our problem. Now, we need to implement the mean squared error function in Python to our dataset.

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