Make a classification with naive bayes

I want to classify the heart disease dataset using naive bayes, but during preprocessing I use information gain and discretize, after that it is classified using naive bayes and uses 10 fold cross validation.. compare it with the classification using the conventional naive bayes algorithm..
* project 1
Dataset -> Preprocessing Feature selection (Information gain+ discretize) -> Classification with naive bayes algorithm (10 fold cross validation) -> accuracy (confusion matrix)
*project 2
Dataset -> classification with conventional naive bayes

I want to use python (jupyter notebook), if interested please dm me immediately.