duygut / Titanic_Survival-Prediction

Build a predictive model for estimate survived people

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TItanic_Survival Prediction - Kaggle

This repository is R Studio for Kaggle Dataset, https://www.kaggle.com/c/titanic

  • The RMS Titanic was not only the largest ship at that time but also the largest man-made moving object in the world. It was the most deathful/fatal maritime disaster with over 1500 casualties. It is almost %68 of the total passengers and crew. There are several facts about the Titanic disaster. Such as;

    • An insufficient number of boats (20 out of 64 boats) that cause this huge number of deaths,
    • Most of the survivors being woman and children,
    • The most expensive first-class suites priced up to £870 in peak season (£79,000 today) according to Wikipedia.
    • Titanic disaster is one of the most important catastrophes that data examination may provide details about survived and non-survived passenger characteristics. Thus, it is crucial to understand survivor profiles in order to save other lives.
  • The project have 4 main topics:

  1. Data Exploration - To understand and get detailed information about dependent variable and other parameters.
  2. Feature Engineering - To create new parameters that can increased accuracy and help to make better prediction.
  3. Data Analysis - To prepeare and fit the parameters for building model
  4. Model Building - To build different models and comparing their accuracy for making prediction with the best of.

Dataset can be found in below link

https://www.kaggle.com/c/titanic/data

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Build a predictive model for estimate survived people

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