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# AI Projects 2 — Spam Email Detection with Scikit-Learn: End-to-End Pipeline 2026

**[Medium](https://daily.dev/sources/medium_js)** · 2 min read · 1 upvotes · 0 comments

## Summary

A step-by-step tutorial on building a spam email classification pipeline in Python using Scikit-Learn. Covers the full NLP workflow including text preprocessing, tokenization, stopword removal, stemming, and TF-IDF feature extraction. The pipeline is then deployed as a real-time spam detector using Streamlit. Aimed at IT professionals and students wanting practical ML experience with text classification.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://learnitguide.medium.com/ai-projects-2-spam-email-detection-with-scikit-learn-end-to-end-pipeline-2026-1ebeec8f25af>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#nlp](https://daily.dev/tags/nlp), [#scikit](https://daily.dev/tags/scikit)

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