• Pre-processed and analyzed 80,000+ rows of data.
• Trained 15+ of different models to classify testing data.
• Evaluated models' performance based on accuracy and precision and achieved 99% accuracy with decision tree model.
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Pre-processed and analyzed 80,000+ rows of data. Trained different models to classify testing data. Evaluated models performance based on accuracy and precision and achieved 99% accuracy with decision tree model.
Sri-Lakshmi-Prasanna/-Cyber-Attack-Detection-and-Classification
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Pre-processed and analyzed 80,000+ rows of data. Trained different models to classify testing data. Evaluated models performance based on accuracy and precision and achieved 99% accuracy with decision tree model.
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