According to statista.com, over $50\%$ of all emails are SPAM. Use the Spambase Dataset $($download Download download$)$ and neural network techniques to implement a binary classification model that predicts whether or not emails are SPAM. You may use any deep learning framework of your choice $($e$.$g$.,$ PyTorch, TensorFlow, or Keras$).$ Model evaluation results with performance metrics $($like accuracy$)$

Source code file $(.$ipynb or $.$py$)$

Screenshots of the code and output results