Spam detection is a beginner’s example of document classification task which involves classifying an email as spam or non-spam (a.k.a. ham) mail.

1. Preparing the text data.
2. Creating word dictionary.
3. Feature extraction process.
4. Training the classifier.
5. Running predictions.

In this turotial, I am extracting data from the publicly available mail corpus Ling-spam corpus.

• Unzip the data folders in the same location.
• Run the code and enjoy!