https://github.com/sunnyallana/datascienceresources

Data Science Resources
https://github.com/sunnyallana/datascienceresources

data data-science matplotlib numpy pandas plotly plots python seaborn statistics

Last synced: 2 days ago
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Data Science Resources

• Host: GitHub
• URL: https://github.com/sunnyallana/datascienceresources
• Owner: sunnyallana
• License: mit
• Created: 2023-07-24T12:12:25.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-29T10:24:27.000Z (over 1 year ago)
• Last Synced: 2023-12-16T16:13:08.824Z (11 months ago)
• Topics: data, data-science, matplotlib, numpy, pandas, plotly, plots, python, seaborn, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 9.54 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Data Science Resources Repository

![GitHub](https://img.shields.io/github/license/sunnyallana/dataScienceResources)

Welcome to the Data Science Resources repository! This repository contains a collection of valuable resources related to data science, including tutorials, articles, datasets, and more.

## Contents

- [Introduction](#introduction)

- [Contents](#contents)

- [Contributing](#contributing)

- [License](#license)

- [Contact](#contact)

## Introduction

In this repository, you'll find various resources that can help you dive into the world of data science. Whether you're a beginner looking to learn the basics or an experienced practitioner seeking to expand your knowledge, we've got something for you.

Feel free to explore the different folders and files to find what suits your interests best. If you find something useful, don't hesitate to star the repository and share it with others.

## Contributing

Your contributions to this repository are highly appreciated! If you have any data science-related resources that you'd like to add, or if you find any issues that need to be addressed, please feel free to create a pull request. Together, we can make this repository an even more valuable resource for the community.

To contribute, follow these steps:

1. Fork the repository to your GitHub account.

2. Create a new branch for your changes.

3. Make your changes and additions.

4. Commit your changes with an informative commit message.

5. Push your changes to your forked repository.

6. Create a pull request to the original repository.

Please ensure that any resources you contribute are in compliance with the repository's [MIT License](LICENSE).

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contact

If you have any questions or suggestions, feel free to reach out to me on LinkedIn.

LinkedIn: [Sunny Allana](https://www.linkedin.com/in/sunnyallana)

Happy learning and exploring the fascinating world of data science!