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01 / Context

The problem

Email classification benefits from a simple, inspectable baseline before more complex models are considered.

02 / Implementation

What I built

Built a repository-level supervised text-classification workflow for separating spam and non-spam messages.

Current status
Research
Evidence path
1 public link

03 / Current outcome

What exists today

A compact ML foundation project focused on preprocessing and binary classification.

Boundary

What this page does not claim

Research experiment; no current accuracy claim or deployed prediction service is published here.

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