Naive Bayes Without Sklearn

It is a python program to implement Naive Bayes Classifier Algorithm without Sklearn. Zero Probability Problem In order to counter problems with Zero Probability, Laplace Smoothing has been implemented. Different test data can be checked and validated by changing the test_data list in the program.

Naive Bayes

Without SKlearn

It is a python program to implement Naive Bayes Classifier Algorithm without Sklearn.

Zero Probability Problem

In order to counter problems with Zero Probability, Laplace Smoothing has been implemented.
Different test data can be checked and validated by changing the test_data list in the program.

Author:

[Hassan Shahzad](https://github.com/HassanShahzad7)