Titanic: Machine Learning from Disaster

Nancy J. Delong

Use device finding out to make a design that predicts which passengers survived the Titanic shipwreck.

On April fifteen, 1912, all through her maiden voyage, the greatly regarded as “unsinkable” RMS Titanic sank after colliding with an iceberg. However, there weren’t adequate lifeboats for everybody onboard, ensuing in the death of 1502 out of 2224 passengers and crew.

Even though there was some component of luck concerned in surviving, it seems some groups of people were far more most likely to survive than other folks.

In this problem, we check with you to create a predictive design that responses the problem: “what types of people were far more most likely to survive?” making use of passenger details (ie name, age, gender, socio-economic class, and many others).

Source: Kaggle

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