The Challenge

The sinking of the Titanic is one of the most infamous shipwrecks in history.

On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew.

While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others.

In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

这个是kaggle上的一个基础项目，目的是探测泰坦尼克号上的人员的生存概率，项目地址：https://www.kaggle.com/c/titanic

网上基于这个项目其实可以找到各种各样的解决方案，我也尝试了不同的做法。但是实际的效果并不是十分好，个人尝试最好的成绩是0.78468，一次是基于深度神经网络，另外一次就是基于当前的随机森林的模型。

另外还可以看到一系列score为1的提交，这些不知道是怎么做到的，真是太tm牛了~~