Spam Email Detection System
Completed:
Developed a spam email detection system using NLP techniques including tokenization and vectorization (TF-IDF / Bag of Words) to transform raw email text into features. Trained and evaluated six supervised machine learning classifiers, comparing their accuracy and performance to identify the best model for real-world spam filtering.
Tech Stack
Python Jupyter Notebook Scikit-learn NLP TF-IDF Tokenization Supervised Learning
GitHub Repository
Year: 2025
Status: Completed