A Basic Machine Learning using Naive Bayes' Algorithm
Notebook used : Google Colab
1> The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged acording being ham (legitimate) or spam. 2> The files contain one message per line. Each line is composed by two columns: v1 contains the label (ham or spam) and v2 contains the raw text.
To Predict : if an email/message is spam or ham.
If you're working on a Local Machine, Install the dependencies from your terminal with >> "pip install -r requirements.txt"