Wrote by YingTing

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New to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions.

Competition Description

On April 15, 1912, the Titanic sank, killing 1502 out of 2224 passengers and crew.

There were not enough lifeboats for the passengers and crew, is one of the reasons why lose so many life. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class.

In this challenge, need to complete the analysis of what sorts of people were likely to survive. In particular, this challenge ask us to apply the tools of machine learning to predict which passengers survived the tragedy.

Practice Skills

• Binary classification
• Python basics