Prepare real text data
Clean and structure SMS messages while preserving the signals that separate legitimate messages from scams.
Orogun Webinar Series
From Notebooks to Prod Codes
Build a simple SMS fraud and scam text detection model, then organise it into a workflow that can move beyond a notebook.
- Date
- Sunday, 25 October 2026
- Time
- 2:00 pm WAT
- Venue
- Live on Google Meet
Join the webinar
The Google Meet room opens in a new tab.
Practical session
What we will build together
This session follows the full path from a raw message dataset to an understandable machine-learning baseline and reusable prediction code.
Build an NLP baseline
Transform text into useful features, train a clear classifier and evaluate the errors that matter.
Move beyond the notebook
Organise the workflow into reusable code with saved artefacts, predictable inputs and a simple inference path.
Design for responsible use
Discuss false positives, false negatives and why human review remains important for fraud and scam detection.
More than one event
A continuing webinar series
The Orogun Webinar Series brings together practical data science, machine learning and production lessons. New sessions will be announced on this page.