To implement the Naïve Bayesian Classifier to solve the following problems:
1) Iris data set, and
2) Your own choice of any data set.
You may write your code in a contemporary language of your choice; typical languages would include C/C++, Python, Java, Ada, Pascal, Smalltalk, Lisp, and Prolog (preferably python). A GUI interface is mandatory.
Submit a PDF file of your well-commented source program, your design and your printed outputs (or screen shots). Please include your codes in your PDF file. Please do not take codes from the website if possible. Try to understand the algorithm and implement the algorithm by your own.