In this section, we will see how additional preparation done on the data can allow us to extract an extra piece of information.
Until now, we have improved our model by modifying its options, using a different model, changing the perspective of looking at data, and removing noise. Sometimes though, these techniques will just slightly improve the model; but if you could go back to the data preparation phase and look for extra bits that can be pulled from the data that can give better results, this can really go a long way in improving accuracy.
