GitHub - omarn33/Spam-Email-Classifier: A Naïve Bayes classifier that identifies spam emails based on word content using a unigram and bigram model. The trained model attained a 96% accuracy on unseen emails.

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A Naïve Bayes classifier that identifies spam emails based on word content using a unigram and bigram model. The trained model attained a 96% accuracy on unseen emails.

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.idea		.idea
__pycache__		__pycache__
data		data
grade.py		grade.py
mp2.py		mp2.py
mp2_mixture.py		mp2_mixture.py
mp2_tf_idf.py		mp2_tf_idf.py
naive_bayes.py		naive_bayes.py
naive_bayes_mixture.py		naive_bayes_mixture.py
reader.py		reader.py
tf_idf.py		tf_idf.py

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A Naïve Bayes classifier that identifies spam emails based on word content using a unigram and bigram model. The trained model attained a 96% accuracy on unseen emails.

python artificial-intelligence naive-bayes-classifier

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