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

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

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.

• Python 3: https://www.python.org/downloads/
• Anaconda: https://www.anaconda.com/download/

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.

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

Ramakrishnan - Complete Work