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Titanic: Machine Learning from Disaster

Start here! Predict survival on the Titanic and get familiar with ML basics

贡献者:

比赛:

地址:https://www.kaggle.com/c/titanic

翻译项目原地址 作者 本库地址 翻译
Introduction to Ensembling/Stacking in Python Anisotropic GO GO
Titanic Data Science Solutions Manav Sehgal GO GO
A Data Science Framework: To Achieve 99% Accuracy LD Freeman GO GO
Titanic best working Classifier Sina GO GO
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介绍

Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions.

Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.

One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. 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, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.

Practice Skills Binary classification Python and R basics