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Spam-Detection

machine learning project using sklearn libraries and NLP With accuracy of 96.33

in this project different different techniques are used for classification like: Random Forest, Decision Tree, K Neighbors,Logistic Regression,SGD Classifier etc. and after all these we also use Voting Classifier with accuracy of 98.27%

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