A collection of neat and practical data science and machine learning projects
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This repository is a collection of my projects and accomplishments from my time spent in the data science and analytics space.
- Python 3.6.0
- Azure Machine Learning
- Power BI Desktop June 2021
- TensorFlow 2
- PyTorch
- PySpark
- Luigi
- Prophet
- Oracle SQL
- UiPath Process Mining
To get a local copy up and running follow these simple steps.
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
- Clone the data-science
git clone https://github.com/will-fong/data-science.git
- Install NPM packages
npm install
Please use this as a reference for your own work and feel free to reach out with any questions or comments.
Supervised Learning
- Regression
- Classification
Unsupervised Learning
- Clustering
See the open issues for a list of proposed features (and known issues).
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.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE
for more information.
Email me: thewillfong[at]gmail.com
Project Link: https://github.com/will-fong/data-science