Data Science · Machine Learning · Knowledge

CML Polymath Notebooks

A curated library of book notes, takeaways & code

Welcome to a growing collection of notebooks documenting my journey through Data Science literature — written to share knowledge, not just collect it. Each book gets its own series, structured to help you learn alongside me.

📚 Book Information Title, author, year & a concise summary to orient you
💡 Key Takeaways The most important ideas, distilled and ready to use
🗒 General Notes Terms, caveats, and step-by-step code walkthroughs
💬 Discussion Reflections and open questions to spark conversation