https://github.com/annapoorna-a-k/spam-email-filtering-using-naive-bayes

This project focuses on using Gaussian Naive Bayes, a probabilistic algorithm, to filter spam emails effectively. By leveraging its simplicity and efficiency, the goal is to enhance email security by accurately classifying emails as either spam or legitimate.
https://github.com/annapoorna-a-k/spam-email-filtering-using-naive-bayes

emailspamclassifier gaussian-naive-bayes machine-learning naive-bayes-classifier

Last synced: 9 days ago
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This project focuses on using Gaussian Naive Bayes, a probabilistic algorithm, to filter spam emails effectively. By leveraging its simplicity and efficiency, the goal is to enhance email security by accurately classifying emails as either spam or legitimate.

• Host: GitHub
• URL: https://github.com/annapoorna-a-k/spam-email-filtering-using-naive-bayes
• Owner: annapoorna-a-k
• Created: 2024-02-13T15:33:41.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-02-13T15:38:00.000Z (9 months ago)
• Last Synced: 2024-02-14T16:49:43.053Z (9 months ago)
• Topics: emailspamclassifier, gaussian-naive-bayes, machine-learning, naive-bayes-classifier
• Language: Jupyter Notebook
• Homepage:
• Size: 3.29 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Spam-Email-Filtering-Using-Naive-Bayes

This project focuses on using Gaussian Naive Bayes, a probabilistic algorithm, to filter spam emails effectively. By leveraging its simplicity and efficiency, the goal is to enhance email security by accurately classifying emails as either spam or legitimate.