Questions

1. Reviewing what was explained in the previous chapter, build a decision tree using class, gender, and Age group as features, and survived as the target variable. You should be able to define some conditions for a passenger to survive.
2. What variables in the dataset do you think are highly correlated?
3. Suppose that the dataset contains a numerical variable with only a few missing values. Is it possible to replace these missing values with numerical values? What value would you use?
4. Explain what bias means and why it is important to avoid it.
5. What other types of diagrams could be use for preliminary data analysis? Try some of them in the given dataset.