sergio11/spam_email_classifier_lstm
This project uses a Bi-directional LSTM model π§π€ to classify emails as spam or legitimate, utilizing NLP techniques like tokenization, padding, and stopword removal. It aims to create an effective email classifier π»π while addressing overfitting with strategies like early stopping π«.
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MIT
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Jun 21, 2025
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