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SMS Spam Classifier
I built this spam classifier model using a Support Vector Machine classifier. The dataset used was taken from Kaggle.com
Created on 30th October 2021
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SMS Spam Classifier
I built this spam classifier model using a Support Vector Machine classifier. The dataset used was taken from Kaggle.com
The problem SMS Spam Classifier solves
This model classifies spam messages. from data, Spam messages have more average words than Ham messages. Spam messages have more average Punctuation than Ham messages.
Challenges I ran into
This is one of the guided projects. So, not needed to head around much. I used CountVectorizer for feature extraction of the text data(i.e., SMSs) with hyperparameters such as lowercase(which converts the text into a lowercase test) and stop_words(which, removes all the stop words from the text data)
Technologies used
Discussion
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