Summary
Go over a summary of what we have learned in this chapter.
In this chapter, we learned about the following concepts.
The data and exploratory data analysis
The Titanic dataset is considered a first step towards classification in machine learning. The goal here is to predict if a passenger survived the sinking of the Titanic or not.
EDA of the data reveals that:
The
Cabincolumn is missing 77.1%, theAgecolumn is missing 19.9%, and theEmbarkedcolumn is missing 0.2% of its data.Among the deceased, most were male.
The rate of survival was higher for the
class-1passengers.The
Sport was the busiest port for each class. We can expect more people to survive. However, the rate of survival was higher for portC.
Data preprocessing and preparation
Moving toward the model training and evaluation phase involves preprocessing, such as removing missing values, handling categorical features by creating dummies, ...