Titanic: Machine Learning from Disaster

Use device understanding to make a model that predicts which passengers survived the Titanic shipwreck.

On April 15, 1912, throughout her maiden voyage, the commonly considered “unsinkable” RMS Titanic sank immediately after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everybody onboard, ensuing in the demise of 1502 out of 2224 passengers and crew.

While there was some component of luck involved in surviving, it looks some groups of people ended up additional probably to survive than many others.

In this obstacle, we inquire you to establish a predictive model that solutions the problem: “what types of people ended up additional probably to survive?” utilizing passenger data (ie title, age, gender, socio-economic course, etc).

Supply: Kaggle