How To Build a Naive Bayes Classifier
Nice article, but I suspect the implementation will not work.  I did essentially the same for an AI-class exercise, and was thrilled to see that you could write a working Bayes classifier in 60 short lines of Python code.  But later I landed a free-lance job that required writing a classifier that could be applied to real world data, and I soon realized that repeated multiplication of numbers between 0 and 1 sends you to zero too fast for the implementation to actually work. I might have missed it in the code, but I think he's doing the same mistake: you need to normalize or move to logarithms for the estimation of probabilities to work for medium or large datasets.