Titanic Challenge -- Machine Learning for Disaster Recovery

The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat. This post is the opportunity to share my solution with you. To make this tutorial more "academic" so that anyone could benefit, I will first start with an exploratory data analysis (EDA) then I'll follow with feature engineering and finally present the predictive model I set up. Throughout this jupyter notebook, I will be using Python at each level of the pipeline. Two datasets are available: a training set and a test set.