Email Spam Classification System Using NLP & Machine Learning

Developed an NLP-based email classification system to automatically detect and classify emails as spam or non-spam (ham).

The project involved preprocessing raw email text, extracting meaningful features, and training machine learning models to achieve accurate spam detection.

Focused on improving text cleaning, feature representation, and model performance while reducing false positives.