Context The collection consists of '0030228_easy_ham.tar.bz2' and '20030228_spam.tar.bz2' taking from https://spamassassin.apache.org/old/publiccorpus/ i.e. _Apache SpamAssassin’s public datasets_. There are 2500 ham and 500 spam emails in the dataset. You may also notice that all the numbers and URLs were converted to strings as `NUMBER` and `URL` respectively. This is the simplified spam and ham dataset. Acknowledgements My first interaction about the content was on the 'Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow' book. If you follow the questions at the end of Chapter 3, Aurélien Geron asks you to build a spam classifier using this dataset. Thanks to Aurélien, I was familiar with the data itself and tried several models including Embeddings and Machine Learning Algorithms.