Spam Mail Detection

Efficient spam/ham classification using TF-IDF and Naive Bayes.

Spam Mail Detection

Project Overview

Prepared text corpus, applied TF-IDF vectorization and trained Multinomial Naive Bayes to classify emails; prioritized high precision to reduce false positives.

Tools & Techniques

PythonNLTKNaive BayesScikit-learn

Key Outcomes

  • Achieved >97% accuracy on public datasets.
  • Low false-positive rate after threshold tuning.
  • Lightweight model suitable for production filtering.
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