Spam and Ham Classifier on the UCI Machine Learning Dataset with 97.1906% accuracy.
Model is based on Naive Bayes.
Library used:
Numpy
Pandas
NLTK
Scikit-learn
For Data Visualization :
Matplotlib
Seaborn
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Spam and Ham Detection on UCI Machine Learning Dataset
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