Titanic: Machine Learning from Disaster

Use machine finding out to generate a model that predicts which travellers survived the Titanic shipwreck.

On April fifteen, 1912, throughout her maiden voyage, the widely considered “unsinkable” RMS Titanic sank just after colliding with an iceberg. Sadly, there weren’t ample lifeboats for everybody onboard, ensuing in the demise of 1502 out of 2224 travellers and crew.

Whilst there was some aspect of luck concerned in surviving, it seems some teams of people ended up more probably to survive than many others.

In this obstacle, we ask you to build a predictive model that responses the question: “what sorts of people ended up more probably to survive?” working with passenger data (ie title, age, gender, socio-financial course, etc).

Supply: Kaggle

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