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🧠 Learning Hub Documentation

Welcome to the Learning Hub — a curated collection of notes, tutorials, and explanations on programming, machine learning, data science, mathematics, and more.

Whether you're a beginner exploring the fundamentals or an advanced practitioner diving into research concepts, this documentation is built to guide, explain, and inspire.

📚 What You'll Find Here

  • 🧮 Mathematics
    Key concepts, formulas, and derivations — from calculus and linear algebra to probability and statistics.

  • 💻 Python Programming
    Core syntax, tips, and patterns with real-world examples.

  • 📊 Data Science & Machine Learning
    Tutorials, model explanations, evaluation metrics, and project notes.

  • 🤖 Deep Learning
    Concepts like neural networks, CNNs, RNNs, LSTMs, and Transformers with diagrams and PyTorch examples.

  • 🧪 Experiments & Projects
    Step-by-step walkthroughs of hands-on projects, datasets, and applied learning.

🚀 Getting Started

Use the navigation menu on the left to browse topics. Each section contains structured pages with clear titles and math-rendered derivations where applicable.

🛠️ Tech Stack

This documentation is built with:

  • MkDocs – Static site generator for project docs.
  • Material for MkDocs – Clean, responsive theme.
  • MathJax / pymdownx.arithmatex – For LaTeX-style math rendering.
  • Python, NumPy, Pandas, PyTorch – For code examples.

🌐 Access Online

View this documentation site at:
🔗 https://sntoshsah.github.io/learning_hub/

👤 Author

Santosh Kumar Sah
Data Science & AI Enthusiast
📧 sahsantosh257@gmail.com
📍 Nepal

“Learning never exhausts the mind.” — Leonardo da Vinci

Happy learning! 🚀