This page provides information about the dataset used in the Python project for spam classification within our community's machine learning resources.

Dataset Overview

The spam classification dataset is a collection of emails that have been labeled as either 'spam' or 'ham'. It is designed to help train machine learning models to distinguish between spam and legitimate emails.

Dataset Features

  • Size: The dataset contains over 5,000 labeled emails.
  • Language: The emails are primarily in English.
  • Format: The dataset is provided in CSV format, with columns for 'label' (spam/ham) and 'email_text' (the content of the email).

Usage

To use this dataset, you can download it from the following link:

Download Spam Classification Dataset

Example

Here is a small snippet of the dataset:

label,email_text
spam,This is a spam email offering a free lottery ticket.
ham,Hello, I hope you are doing well.

Further Reading

For more information on spam classification and machine learning with Python, check out our Machine Learning Resources.

[center] Email Classification [center]