Rajat-dhyani / titanic_survival

In this project, I have created decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster based on each passenger’s features, such as sex and age.

Titanic Survival

Udacity - Machine learning Nano Degree Program : Project-0

Project Overview

This is first project in the series of the projects listed in Udacity- Machine Learning Nano Degree Program.

In this optional project, I have created decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster based on each passenger’s features, such as sex and age. I started with a simple algorithm and increased its complexity until i was able to accurately predict the outcomes for 80.13% of the passengers in the provided data.

Other Related Projects:

• Project 1 : Boston's Houses Prediction
• Project 2 : Charity Donors Prediction
• Project 3 : Creating Cutomer Segments
• Project 4 : Smart Cab
• Project 5 : ImageNetBot
• Project 6 : Stock Price Predictor

Software and Libraries

This project uses the following software and Python libraries:

• Python 2.7
• NumPy
• pandas
• scikit-learn (v0.17)
• matplotlib
• Jupyter Notebook