SPAM Email Classification

In a prior project, I successfully implemented a spam classification system using machine learning methodologies.
Through preprocessing techniques and the application of algorithms like Naive Bayes or Support Vector Machines (SVM), I trained the model on labeled datasets, enabling it to accurately differentiate between "Spam" and "Not Spam" emails.
This project underscored my proficiency in data preprocessing, model training, and evaluation, demonstrating my ability to contribute to email security and management through effective spam detection algorithms.