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Description
Problem:
All of us get irritated seeing so many emails on our account. It is difficult for us as well to predict which ones are spam and which ones are ham.
Our model would predict whether an email is spam or not.
Solution:
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Import all the required libraries
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Upload the dataset
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Removing duplicates
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Clean the data
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Removing stop words
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Tokenization
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Split data into train and test data
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Applying Naive Bayes Classification
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Make the final prediction with the best accuracy
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Application of the same
Dataset: spam.csv
I have worked on this project and here is my work.
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