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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.

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

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Spam Detection in SMS Using Supervised Learning Algorithms and Monte Carlo Approach

Features:

  • Detects spam messages in SMS.
  • Handles messages in regional languages typed in English.
  • Uses supervised learning algorithms with the Monte Carlo approach.
  • Improves accuracy and reliability of spam detection.

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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.

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