Removing anomalies from training data

Course Q&A Machine Learning Specialization Unsupervised Learning, Recommenders, Reinforcement
4

Hi @rmwkwok, let me make it a little more tangible since I understand it is so case-by-case.

Here is what my datasets distribution looks like even after taking it to the 10th root:

image

Would it make sense to train my model with the HUGE outliers taken out. Otherwise, I don’t see how I can create a bell shaped gaussian curve without running into rounding errors.