Basic Naive Bayes Classifier in Python

This approach makes use of pre-labeled data provided by the Kaggle Classroom spam detection challenge.

naive-bayes Python 3 Classifier

Python project code in naive-bayes is written with Python 3.7.

For setup create a virtualenv with the requirements:

create virtual environment first

pip install -r naive-baves/requirements.txt

To run the Naive Bayes classifier:

cd naive-bayes
python spam_detector.py

Only the corpus of words are used as selectors to determine if an email is spam or ham.

To prevent words with 0 frequency from miscontruing the results, Laplace smoothing is applied to increment each 0 frequency word to 1.