Ghana Email Dataset

Ghana Email Dataset Email datasets are essential resources for developing and testing machine learning models in areas like spam detection, phishing prevention, and email classification. One widely used example is the Enron Email Dataset, which contains hundreds of thousands of emails from real employees. This dataset is valuable because it provides authentic, structured communication that reflects real-world usage.

Researchers use email datasets to train algorithms to recognize patterns in language, detect malicious intent, or organize emails automatically. Common features include the sender and receiver, timestamps, subject lines, and the body text of the message. These features help models learn how legitimate and spam emails differ.