https://github.com/runtime-error786/spamdetect

This repository contains a machine learning project for classifying emails as spam or not spam (ham) using a transformer-based model. The project utilizes BERT (Bidirectional Encoder Representations from Transformers) to classify text messages. The classifier is trained using a custom dataset of labeled text messages (SMS spam collection dataset),
https://github.com/runtime-error786/spamdetect

Last synced: 6 months ago
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This repository contains a machine learning project for classifying emails as spam or not spam (ham) using a transformer-based model. The project utilizes BERT (Bidirectional Encoder Representations from Transformers) to classify text messages. The classifier is trained using a custom dataset of labeled text messages (SMS spam collection dataset),

• Host: GitHub
• URL: https://github.com/runtime-error786/spamdetect
• Owner: runtime-error786
• Created: 2025-01-06T20:14:01.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-01-07T10:50:04.000Z (about 1 year ago)
• Last Synced: 2025-03-23T19:17:25.336Z (10 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 210 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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## Spam Detect

This repository contains a machine learning project for classifying emails as spam or not spam (ham) using a transformer-based model. The project utilizes BERT (Bidirectional Encoder Representations from Transformers) to classify text messages. The classifier is trained using a custom dataset of  labeled text messages (SMS spam collection dataset), which includes both spam and ham messages.