How it works...

In this recipe, we have performed feature engineering so that we could make our data more usable by our ML algorithms. We removed the columns with no variation, high correlation, and we denoised the dataset. In step 8 we removed the columns with no variation. The method describes the data in several ways. Reviewing the chart showed that many variables do not change at all. Next, we used a heat map to find sensors that had the same data. Finally, we used a rolling average to smooth the data from our original dataset into a new one.