Exploring movie features

In the rest of this chapter, you will use boosting algorithms to build models that predict the log-revenue of movies based on the following features: 'budget', 'popularity', 'runtime', 'vote_average', and 'vote_count'. There are many more features, but these will be of primary interest. Having explored the target in the previous exercise, it's now time to explore these features!

The features of interest have been loaded into the features variable. Use the .describe() method to explore it. What do you notice?