A machine learning-based spam detection project using a synthetic dataset of email features. Implements data preprocessing, model training, and evaluation with metrics like accuracy, precision, recall, and F1-score to classify emails as HAM or SPAM.
☆15Aug 20, 2025Updated last year
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