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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
Built with
Python · Jupyter · Machine learning · Time series · Generative AI · Content systems
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.

writing · education · tutorials · machine-learning