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s2kumar2007/README.md

Hi ๐Ÿ‘‹, I'm Sunil Kumar

๐ŸŽ“ CSE Student | ๐Ÿค– Probabilistic AI Enthusiast


๐Ÿš€ About Me

  • ๐Ÿ”ญ Currently contributing to pgmpy (Probabilistic Graphical Models library)
  • ๐Ÿง  Focused on Bayesian Networks & Probabilistic AI
  • โš™๏ธ Interested in improving real-world AI systems
  • ๐ŸŒฑ Continuously learning advanced concepts in AI & ML

๐Ÿง  Current Learning

  • Probabilistic Graphical Models

    • Bayesian Networks (Structure & Parameter Learning)
    • Exact & Approximate Inference (Variable Elimination, Sampling)
  • pgmpy Internals

    • Model architecture & CPDs
    • Inference engine optimization
    • Utility & performance improvements
  • Mathematics for AI

    • Probability Theory
    • Conditional Independence
    • Optimization basics
  • Advanced Exploration

    • Causal Inference
    • Graph-based AI models

๐Ÿค Open Source

  • ๐Ÿ‘ฏ Looking to collaborate on AI/ML & Probabilistic Models
  • ๐Ÿค Seeking help in advanced inference & optimization techniques

๐Ÿ’ฌ Ask Me About

  • ๐Ÿ Python & Problem Solving
  • ๐Ÿง  Bayesian Networks
  • ๐Ÿ“Š pgmpy usage & basics
  • ๐Ÿ” Probability & Inference
  • ๐Ÿ› ๏ธ Open Source Contribution

๐Ÿ’ผ Skills

๐Ÿ‘จโ€๐Ÿ’ป Programming

  • Python (Strong)
  • C++
  • Basic Java
  • C

๐Ÿง  AI / ML

  • Probabilistic Graphical Models
  • Bayesian Networks
  • Machine Learning Basics

ML Libraries & Frameworks

pgmpy (Bayesian Modeling & Inference)

scikit-learn (ML algorithms, preprocessing, evaluation)

NumPy (Numerical Computing)

Pandas (Data Analysis & Manipulation)

Matplotlib / Seaborn (Data Visualization)

๐Ÿ› ๏ธ Tools

  • Git & GitHub
  • VS Code
  • Linux

๐Ÿ“Š GitHub Stats

๐Ÿ“Œ Projects

  • ๐Ÿ”น Enhancing usability & performance
  • ๐Ÿ”น Exploring AI-based solutions

๐Ÿ“ซ Connect With Me


โšก Fun Fact

I enjoy solving complex problems and turning ideas into real working code ๐Ÿ’ก


๐Ÿ”ฅ Profile Views

profile views


โญ Focused on building intelligent systems using probability, logic, and code

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