Simulation task involved traversing a dataset and creating a Pandas dataframe. We create a preprocessor that takes in a string and replaces all non alphabet characters with a space and then lowercases the result. Then, a machine learning model is trained using functions that have been provided. Using this, we target wording frequently found in spam emails to classify fraudulent and legitimate emails.