Data Science

A collection of neat and practical data science and machine learning projects

This repository is a collection of my projects and accomplishments from my time spent in the data science and analytics space.

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

  • npm

npm install [email protected] -g

Installation

  1. Clone the data-science

git clone https://github.com/will-fong/data-science.git

  1. Install NPM packages

npm install

Usage

Please use this as a reference for your own work and feel free to reach out with any questions or comments.

Roadmap

Supervised Learning

  • Regression
  • Classification

Unsupervised Learning

  • Clustering

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Email me: thewillfong[at]gmail.com

GitHub

GitHub - will-fong/data-science: A collection of neat and practical data science and machine learning projects
A collection of neat and practical data science and machine learning projects - GitHub - will-fong/data-science: A collection of neat and practical data science and machine learning projects