Exploration – data analysis

Now, it is time to explore the data. There are many questions that we can ask, such as the following:

• What target features would we like to model supporting our goals?
• What are the useful training features for each target feature?
• Which features are not good for modeling since they leak information about target features (see the previous section)?
• Which features are not useful (for example, constant features, or features containing lot of missing values)?
• How to clean up data? What to do with missing values? Can we engineer new features?

Basic clean up

During data exploration, we will execute basic data clean up. In our case, we can utilize the power of booth tools together: we use the...