Summary
In this chapter, we got to see the real value of data preprocessing in enabling us to perform predictive analytics. As you saw in this chapter, what empowered our prediction was not an all-singing, all-dancing algorithm – it was our creativity in using what we learned during this chapter to come to a dataset that could be used by standard prediction algorithms for prediction. Furthermore, we got to practice different kinds of data cleaning, data reduction, data integration, and data transformation.
In the next chapter, we will get to practice data preprocessing on another case study. In this case study, the general goal of the analysis was prediction; however, the preprocessing in the next case study will be done to enable clustering analysis.
