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Relataly

During my time as a machine learning consultant, I started writing blog articles about different ML use cases. Over time, Relataly became a way to build and document broad expertise across machine learning, data science, analytics, and implementation techniques.

My role
Founder, writer, and technical editor
Started
Updated
Visibility
Public
GitHub stars on the tutorial notebooks
160+
from time series to generative AI
ML to GenAI
Relataly homepage with featured tutorials on AI use cases, agentic web scraping, and vector databases
The Relataly homepage: practical AI, from first principles to production.

Problem

When I was consulting in machine learning, I often had to understand new domains and techniques quickly. Writing helped me structure that learning and make it useful for others.

Solution

A long-running blog with tutorials, use case write-ups, and practical explanations of ML and data science techniques.

Architecture

A content platform around practical ML, data science, analytics, and implementation topics.

Lessons learned

Writing is a forcing function. It shows where understanding is solid, where it is vague, and which ideas are useful beyond one project.

Built with

  • Python
  • Jupyter
  • Machine learning
  • Time series
  • Generative AI
  • Content systems

#writing #education #tutorials #machine-learning