BAYES EMAIL SPAM CLASSIFIER

        Training Naive Bayes classifier to classify spam and ham emails.

This project include :

        1. pre-processing dataset containing raw emails.(Tokenizing, Stemming, HTML removing, Extracting non-stopwords 
           Using NLTK library).
        2. Visualizing dataset and Creating WordClouds
        3. Using Naive bayes algorithm to find probability of spam emails and word frequencies.(Training)
        4. Testing and Evaluating model. 
                    -Model has accuracy of 97.7%