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Titanic : Appyling ML to predict the survival on the Titanic

Data Source

Data can be either dowloaded from my GitHub profile or directly download from kaggle

Description

The Titanic challenge on Kaggle is a competition in which the task is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat. I have been working with the Titanic dataset for a while, and I have recently achieved an accuracy score of 0.7894 on the public leaderboard.More than 21,600 teams are currently competing. In this article my solution goes through the following steps

  • Exploratory Data Analysis
  • Feature Extraction
  • Feature Engineering
  • Model Building

Prerequisites

You need to have installed following softwares and libraries in your machine before running this project.

  • Python 3
  • Anaconda: It will install ipython notebook and most of the libraries which are needed like sklearn, pandas, seaborn, matplotlib, numpy, scipy.

Installing

I recently achieved an accuracy score of 0.78947 on the public leaderboard. I am ranked among the top 20% of all Kagglers : More than 21650 teams are currently competing.

energy

I would be happy if you could find out a way to improve my solution. So feel free to post a comment.

Authors

Ramakrishnan - Complete Work