Spam Detection
Completed2024
Spam detection using machine learning algorithms. Trained on large datasets with feature extraction using NLTK and Scikit-learn. Implements multiple classification models, including logistic regression and random forest, with cross-validation for accuracy. Includes a web interface for testing and visualizing results.

About This Project
Spam detection using machine learning algorithms. Trained on large datasets with feature extraction using NLTK and Scikit-learn. Implements multiple classification models, including logistic regression and random forest, with cross-validation for accuracy. Includes a web interface for testing and visualizing results.
Technologies Used
PythonScikit-learnNLTK
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