Building a Spam Classifier with Naïve Bayes

This is done as an assignment for the Machine Learning course. This notebook includes classification of 960 e-mails with Naïve Bayes algorithm.

Dataset and Model Used

• Dataset: Includes 960 real email messages. Modified subset of the Ling-Spam Dataset
• Classification Methods: Naïve Bayes (additive smoothing used, too).

Files

• train-features.txt
• train-labels.txt
• test-features.txt
• test-labels.txt
• Building_a_Spam_Classifier_with_Naive_Bayes_Muge_Kuskon.ipynb

Libraries

1. pandas
2. numpy

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