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This is the course project of CSX460:Practical Machine Learning (with R) Also, it is a Shiny Application developed using the Kaggle’s Titanic dataset that predicts the survival of the passengers on the Titanic.

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CSX460 Project: Kaggle Titanic Shiny Application

Jiangjie Man (Jack)

Project Description

This is the course project of CSX460:Practical Machine Learning (with R) Also, it is a Shiny Application developed using the Kaggle’s Titanic dataset that predicts the survival of the passengers on the Titanic.

About the Titanic Disaster

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.

Other Information

Kaggle Titanic Competition: https://www.kaggle.com/c/titanic

CSX460 Course Github Repo: https://github.com/CSX460/CSX460

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This is the course project of CSX460:Practical Machine Learning (with R) Also, it is a Shiny Application developed using the Kaggle’s Titanic dataset that predicts the survival of the passengers on the Titanic.

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