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GitHub / NishraMahveen / A-Robust-Approach-for-Effective-Spam-Detection-using-Supervised-Learning-Technique

This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised learning algorithms to improve spam detection.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NishraMahveen%2FA-Robust-Approach-for-Effective-Spam-Detection-using-Supervised-Learning-Technique

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: HTML
Size: 170 KB
Dependencies parsed at: Pending

Created at: 11 months ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 11 months ago

Topics: decision-tree-classifier, gradient-boosting-classifier, knn-algorithm, logistic-regression, monte-carlo-method, naive-bayes-classification, support-vector-machine

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