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15 followers · 50 following

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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Shark

Achievements

Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Shark
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optimopium/README.md

Hi there! 👋 I'm Sajad

I'm a passionate data scientist with a penchant for exploring the world of Artificial Intelligence and Machine Learning. Welcome to my GitHub profile, where I love to share my projects, code snippets, and insights from my data-driven adventures.

📚 What You'll Find Here:

  • Data Science Projects: I enjoy working on a wide range of data science projects, from predictive modeling to natural language processing. You'll find my code, datasets, and explanations here.
  • Machine Learning Algorithms: I love to experiment with ML algorithms and share my findings.
  • Data Analysis: Exploring datasets and deriving insights is a big part of what I do.
  • Backend Development: Occasionally, I venture into backend development using Django, Flask, and more. You might stumble upon some web-related projects too.

📫 Connect with Me:

  • 💬 Feel free to reach out for collaboration, questions, or discussions related to data science or any other exciting topic.
  • 🐦 Connect with me on Twitter for the latest updates and interesting conversations.

Happy coding and exploring, Sajad

Pinned Loading

  1. kargaranamir/parstdex kargaranamir/parstdex Public

    A package that extracts Persian time and date markers by applying regexes -- AACL 2022

    Python 25 2

  2. kargaranamir/Persian-Datasets kargaranamir/Persian-Datasets Public

    Persian Datasets including: Wikipedia, Twitter, Hamshahri, Hellokish, NSURL'19, Peyma, Text_mining.ir

    5

  3. persian-semantic-search persian-semantic-search Public

    Using the similarity of the input query with the document, the most relevant embedding vectors for the document (or sentence) are returned.

    Jupyter Notebook 6

  4. Masnavi_NLP_Toolkit Masnavi_NLP_Toolkit Public

    Masnavi NLP Analysis and Topic Modeling using LDA and NMF

    Jupyter Notebook 1

  5. M-M-1-K-simulator-ProcessSharing M-M-1-K-simulator-ProcessSharing Public

    M/M/1/K with process sharing server analytical and simulation implementation

    Python 2