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Community detection is an important research area in social networks analysis where we are concerned with discovering the structure of the social network. Detecting communities is of great importance in sociology, biology and computer science, disciplines where systems are often represented as graphs.

License: MIT License

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community_detection's Introduction

Data Scientist | Accountant | Data Visualizations & Web Apps Specialist with Python & JS Developer

I'm an accountant and a full-stack Data Scientist; I'm used to develop data product (dashboards with ML / explanability, powerful NLP solutions with state-of-art results, and much more) as end-to-end engineer.

I'm the Lead Data Scientist and Python Developer on https://trich.ai;
Also, I have achieved some badges that are very important to me, like:

  • I'm the Technical reviewer of the first Ploty Dash book released by Packt - Link to the book
  • Kaggle Notebooks Grandmaster (best ranked at 12th over more than 150k+ other data scientists, with 17 gold medals and 8 silver medals)
  • Top Rated Plus on Upwork (It's a badge delivered only to 1% of the professionals on this platform)

You can visit some of my projects on:
Kaggle Badge Google Badge Github Badge

Part of my content is now part incorpored by Oreilly Learning & Courses platform to they use it on their courses and books.

๐Ÿ”ญ Iโ€™m currently working on Upwork Platform as TOP RATED PLUS freelancer.
๐ŸŒฑ Iโ€™m currently learning more about Web Development (Dash and Flask) with focus in Data Products
๐Ÿ‘ฏ Iโ€™m looking to collaborate on Open-Source projects mainly Vaex.io and some Dash Components;

๐Ÿ“ซ How to reach me:
Linkedin Badge Upwork


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