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.
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),
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