Apaulgithub/oibsip_taskno4

A data science project aimed at creating a machine learning-based email spam detection system. It effectively identifies and classifies emails into spam and non-spam categories, enhancing email security and user experience.

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Experimental

This project helps individuals and organizations automatically sort incoming emails. It takes raw email messages as input and classifies them as either 'spam' or 'not spam' (ham), helping to keep inboxes clean and secure. Anyone who receives emails, from personal users to businesses, could use this to filter out unwanted junk and phishing attempts.

No commits in the last 6 months.

Use this if you need a system to automatically identify and filter out unwanted, unsolicited, or potentially malicious emails before they clutter your inbox.

Not ideal if you need a system that can understand and categorize emails based on their content and intent beyond simple spam detection, or if you require real-time, highly adaptable spam filtering for extremely high-volume email traffic.

email-security inbox-management spam-filtering digital-safety communication-hygiene
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 1 / 25
Community 20 / 25

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45

Forks

25

Language

Jupyter Notebook

License

Last pushed

Nov 28, 2023

Commits (30d)

0

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