This dataset is a comprehensive collection of email data, categorized into ‘spam’ and ‘ham’ (non-spam) categories originally obtained from (AUEB)'s offical website.. There is 6 versions of this dataset all of them in the form of separate text files. I have iterated and cleaned the dataset for every version for better use in training a model. You can reach to my model for further data cleaning processes.

The dataset contains the following features:

1. Label: This is the target variable, indicating whether an email is ‘spam’ or ‘ham’.
2. Label_num: This is a numerical representation of the target variable, where ‘spam’ is represented as 1 and ‘ham’ is represented as 0.
3. Text: This is the content of the email.