This publication follows on from a previous post and looks to build a machine learning classification model to predict if an immigrant that arrived to Santiago de Chile in 2019 lived in the Eastern Sector of the city upon arrival.
A few months ago an investigation was carried out by the author of StatCityPro into where immigrants live in Santiago de Chile. Various points of interest were identified regarding the number of immigrants and also where they lived upon arrival to Chile.
In the last publication from StatCityPro a decision tree classification model was created with the aim of predicting if a passenger on the Titanic survived or died. Cross validation was used with an accuracy of 80.
This publication will follow on from Part one on the Titanic to conduct data analysis for the passengers onboard and to create a classification decision tree model to predict if a passenger survived or died.
The Titanic sank on the 15th of April 1912 after hitting an iceberg during its first voyage. Unfortunately there were not sufficient lifeboats on board resulting in the death of 1502 of the 2224 passengers and crew.