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

Related tags

Machine Learning python data-science machine-learning sql spark azure clustering tensorflow numpy scikit-learn plotly keras oracle pandas seaborn pyspark ipynb matplotlib automl
Overview

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Data Science

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

About The Repository

Product Name Screen Shot

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

Built With

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 npm@latest -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

Project Link: https://github.com/will-fong/data-science

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Comments
  • Pipeline deployment is unsuccessful

    Pipeline deployment is unsuccessful

    Background:

    The Azure machine learning sandbox account does not have permission to deploy pipelines for machine learning models.

    Impact:

    The notebooks with code that deploy ML models will not run successfully.

    Solution:

    Provision an Azure account with the correct permissions.

    opened by will-fong 0
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