A simple spam classifier exercise to implement spam classification using SVM taking the words as features.
- The spam classification is implemented in Matlab
- The most common occuring words in spam emails are used as features and then the model is then trained on some previous emails where each words is either present or not so the feature vector is an array of 0 and 1.
This spam classification exercise is based on the Andrew Ng course.