Realizar engenharia de atributos avançada no Keras avaliações

Amazing example of how feature engineering improves prediction

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I did see the baseline model and the modified model after feature engineering gave very different results. We also see the modified one has smaller loss and better rmse. However, we did not know exactly which one is more accurate in predicted tax fare without seeing a "ground truth". Shouldn't we give that at the end of the lab?

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