- 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.
- What variables in the dataset do you think are highly correlated?
- 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?
- Explain what bias means and why it is important to avoid it.
- What other types of diagrams could be use for preliminary data analysis? Try some of them in the given dataset.
Argentina
Australia
Austria
Belgium
Brazil
Bulgaria
Canada
Chile
Colombia
Cyprus
Czechia
Denmark
Ecuador
Egypt
Estonia
Finland
France
Germany
Great Britain
Greece
Hungary
India
Indonesia
Ireland
Italy
Japan
Latvia
Lithuania
Luxembourg
Malaysia
Malta
Mexico
Netherlands
New Zealand
Norway
Philippines
Poland
Portugal
Romania
Russia
Singapore
Slovakia
Slovenia
South Africa
South Korea
Spain
Sweden
Switzerland
Taiwan
Thailand
Turkey
Ukraine
United States