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Log in to answerBest Answer · By JanBask Data Science Expert
Answered on Dec 24, 2019
We will be performing a text classification technique on sms collection which contains number of spam and ham messages.
Now we will check and remove the rows with missing values
Now we will split the data
Now we will build pipelines to vectorize the data, and then train and fit a model
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