Spam or Ham Email Classification Dataset

Overview

This dataset contains over 190,000+ emails labeled as either spam or ham (non-spam). Each email is represented by its text content along with its corresponding label.

Description

The dataset provides a comprehensive collection of emails, categorized as either spam or ham, intended to facilitate research and development in email classification algorithms. With a vast corpus of emails, this dataset offers ample opportunities for training and evaluating machine learning models for effective spam detection.

Features

• Text: The content of the email.
• Label: The classification label indicating whether the email is spam (1) or ham (0).

Usage

Researchers and practitioners can leverage this dataset to:

• Develop and evaluate machine learning models for email classification.
• Explore natural language processing techniques for spam detection.
• Conduct comparative studies on the effectiveness of different classification algorithms.
• Investigate emerging trends and patterns in email spamming behavior.