Creating an email spam detector

The model we are going to create will detect spam emails from an emails dataset. This is a little dataset of 5,572 emails, labeled with a spam column.

The notebook with the complete source code can be found at the following link:

https://colab.research.google.com/github/PacktPublishing/Automated-Machine-Learning-with-AutoKeras/blob/main/Chapter05/Chapter5_SpamDetector.ipynb

Let's now have a look at the relevant cells of the notebook in detail, as follows:

• Installing AutoKeras: As we commented in other examples, the following snippet at the top of the notebook is responsible for installing AutoKeras and its dependencies, using the pip package manager:

  !pip3 install autokeras

• Importing needed packages: The following lines load tensorflow, pandas, numpy, and autokeras as needed dependencies for this project:

  import tensorflow as tf
  import pandas as pd 
  import numpy as np
  import autokeras as ak
  from sklearn import model_selection...