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 7 months ago
Alternatives and similar repositories for spam-detection-ml
Users that are interested in spam-detection-ml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 📈 A Shiny dashboard for interactive time series analysis. Supports CSV/Excel upload, plotting, decomposition, stationarity tests, SARIMA…☆25Apr 4, 2025Updated 11 months ago