Udacity Machine Learning Nanodegree

Project #0: Titanic Survival Exploration

Introduction

This is a project for Udacity's Machine Learning Nanodegree. It's a Jupyter notebook, along with supporting Python code, that looks at data from who survived the sinking of the Titanic, and explores a manual decision-tree algorithm for predicting whether or someone survived based on features like sex, age, etc. The goal was to get a predictve accuracy greater than 80%.

Concepts and Classes

Concepts explored in this project:

• basic decision tree algorithm
• pandas, numpy, scikit-learn, and matplotlib Python libraries
• iPython and Jupyter notebooks

Relevant classes:

• Machine Learning Nanodegree

Getting Started

To get started:

1. Download/clone the repository
2. To view the finished product, open Titanic_Survival_Exploration.html in a web browser
3. To view the Jupyter notebook, it's recommended you install Jupyter and Anaconda. Once those are installed, navigate to the project root directory and run the following command:

jupyter notebook titanic_survival_exploration.ipynb

This will open the Jupyter Notebook software and project file in your web browser.