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VEBİS - Data Science Information Sharing and Management System

VEBİS is an educational and informational platform designed to support learners, educators, and enthusiasts in the field of data science.

The platform offers an interactive and structured way to explore various aspects of data science, from beginner-friendly resources to advanced-level content. VEBİS aims to create a centralized space for learning, sharing, and analyzing information related to the data science domain.


Features

Dashboard

  • Visual summaries with data-driven charts including:
    • Gender distribution of data scientists in Türkiye
    • Number of data scientists by country (USA, China, Russia, Türkiye)
    • Growth trends of data scientists in Türkiye over the last 5 years
    • Required skill balance for data scientists

Trainings

  • Organized into three levels: Basic, Intermediate, and Advanced
  • Curated course recommendations and explanations available in both Turkish and English

Articles

  • Bilingual library featuring selected articles on data science foundations and trends, available in Turkish and English

Statistics

  • Interactive data tables including:
    • Data Science Tools and Usage Areas
    • Machine Learning Algorithms Comparison
  • Tables are fully interactive and provide detailed comparisons

Technologies & Libraries

  • Customized AdminLTE 3 theme for a unique, aesthetic, and responsive design (no longer bound by the original template)
  • Bootstrap 5 for responsive layouts and components
  • ECharts for dynamic and interactive data visualizations (dummy data used)
  • Bootstrap DataTables for advanced table features
  • LottieFiles for a lightweight, animated loading bar enhancing user experience
  • SweetAlert for user-friendly feedback and alert messages

Customizations

  • Fully redesigned sidebar, footer, and page layouts
  • Customized user panel and navigation bar with user profile photo integration
  • Added visual enhancements including backgrounds on forms and index page
  • Integrated loading bar and feedback system for smooth interactions
  • Added project logo and brand identity elements throughout the platform

Installation & Usage

  1. Clone the repository:
    git clone <repository-url>
    

How to Use

No installation is required.
Simply open the index.html file in a web browser to view and explore the website.


📹 Project Presentation Video

YouTube Video Link: https://www.youtube.com/watch?v=hK2NW2Sjir8
Note: The video is set to "Unlisted". Only people with the link can view it.


Contact

For any questions or collaboration inquiries, feel free to reach out:

Email: iclalaca.ai@gmail.com Personal Website: datascienceforeveryone.com.tr LinkedIn: iclal-aca GitHub: iclalaca Kaggle: clalaca Medium: @iclalaca.ai


License

This project is open-source and licensed under the MIT License.


Acknowledgements

  • AdminLTE by AdminLTE.io
  • ECharts by Apache
  • Bootstrap by getbootstrap.com
  • Loading animations from LottieFiles
  • Alert dialogs from SweetAlert

Releases

No releases published

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Contributors