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https://github.com/elmezianech/email-spam-ham-classifier-nb-simple

Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.
https://github.com/elmezianech/email-spam-ham-classifier-nb-simple

countvectorizer emails jupyter-notebook machine-learning ml naive-bayes naive-bayes-classifier numpy pandas python spam-detection spam-filtering

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Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.

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# Email-Spam-Ham-Classifier-NB-simple
Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.

This project used the "Email Dataset for Spam Detection" sourced from Kaggle. The dataset contains a collection of emails labeled as spam and ham for training and testing the classifier.

Link: https://www.kaggle.com/datasets/bhaskarreddy072/mail-datacsv