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This project focuses on developing a robust machine-learning model to distinguish between spam and ham (non-spam) emails. It uses the power of Natural Language Processing (NLP) and Machine Learning, the model is trained to analyze email content and classify it based on various features.

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Sudharshana426/SpamEmailDetection-Machine_Learning_Project

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Machine_Learning_Projects

Authors : Atchaya S , Menaka R , Sudharshana B

This project focuses on developing a robust machine-learning model to distinguish between spam and ham (non-spam) emails. It uses the power of Natural Language Processing (NLP) and Machine Learning, the model is trained to analyze email content and classify it based on various features.

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This project focuses on developing a robust machine-learning model to distinguish between spam and ham (non-spam) emails. It uses the power of Natural Language Processing (NLP) and Machine Learning, the model is trained to analyze email content and classify it based on various features.

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