AI Email Spam Classification
The AI Email Spam Classification project utilizes machine learning techniques to accurately classify emails as spam or non-spam (ham). By leveraging the power of artificial intelligence and machine learning algorithms, the project aims to enhance email management and protect users from unwanted or malicious emails such as spam and phishing attacks. The project involves importing a dataset, preprocessing the text data, training a classification model using a Naive Bayes algorithm, and evaluating the model's performance. It provides insights into the dataset by counting the number of spam and ham emails and showcases example emails from each category. The AI Email Spam Classification project offers a practical solution for automating the detection and filtering of spam emails, thereby optimizing email communication and security.