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sms-classification

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The project leverages Naive Bayes Classifiers, a family of algorithms based on Bayes’ Theorem, which presumes independence between predictive features. This theorem is crucial for calculating the likelihood of a message being spam based on various characteristics of the data.

  • Updated Jan 5, 2025
  • Jupyter Notebook

SMS Spam Classifier is a machine learning project that classifies SMS messages as spam or ham using the SMS Spam Collection dataset. It employs text preprocessing (TF-IDF) and machine learning algorithms like Logistic Regression, Naive Bayes, and SVM to predict spam messages effectively.

  • Updated Mar 22, 2025
  • Jupyter Notebook

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