mukerong / data-science-project

Analyze and discover the hidden patterns through massive Data.

Data Science Project

A place to play with Data, explore truth and discover the world from a different perspective

Introduction

Being able to tell a story using data is more critical than ever. This repository will share various data science projects I work on. Feel free to fork them, and let me know if anything I can do to make improvement! You can contact me at [email protected].

Getting Started

Overview

This program will include various data science projects. I also did several other projects through the Udacity Nanodegree programs. These projects can be found in Udacity-DAND and Udacity-MLND.

I will also make some notes, which will all be saved in Toolkits.

Stories and findings will also be shared through my blog and medium.

Prerequisites

These projects requires Python 3.5 and the following Python modules installed:

• NumPy
• Pandas
• matplotlib
• scikit-learn
• seaborn

You will also need to install and run Jupyter Notebook.

If you have not had Python installed yet, it is highly recommended to install the Anaconda distribution of Python, which already has the above packages and more included.

If there are additional modules needed for each project, it will be explained in README.md file in each project folder.

Running

In a terminal or command window, navigate to the top-level project directory and run one of the following commands:

jupyter notebook XXX.ipynb

or

ipython notebook XXX.ipynb

If there are special instructions, they will be provided in the project folder.

Author

• Guanrong Fu