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ai-ml-detection

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jerold-benjamin-j / SMS-Spam-Detection-using-NLP-and-Naive-Bayes

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The SMS Spam Detection project classifies messages as "Spam" or "Ham" using NLP and a Multinomial Naive Bayes model. Preprocessing included text cleaning, stopword removal, and lemmatization. The model achieved high accuracy, and add a accuracy and Loss, confusion matrix heatmap visualization for enhanced insights.

python nlp spam machine-learning natural-language-processing detection sklearn sms seaborn naive-bayes-classifier matplotlib nlp-machine-learning ai-ml-detection
  • Updated Jan 23, 2025
  • Jupyter Notebook

antarades / image-malware-detection-model

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Image-based malware classification using CNN, ResNet18, and EfficientNet-B0 trained on the Malimg Dataset. Includes model comparison, evaluation metrics, and visualization of results.

python malware image-classification malware-analysis malware-research image-detection cnn-model resnet-50 malware-detection ai-project efficientnet ai-ml ai-development ai-ml-detection malware-detection-project ai-detection
  • Updated Oct 8, 2025
  • Jupyter Notebook

JerryJev1 / image-malware-detection-model

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🖼️ Detect and classify malware using deep learning on grayscale images, leveraging the Malimg Dataset for robust multi-class malware identification.

python data-science machine-learning deep-learning tensorflow malware eda kaggle supervised-learning image-classification convolutional-neural-networks malware-analysis resnet-50 malware-detection ai-development ai-ml-detection malware-detection-project ai-detection
  • Updated Oct 31, 2025
  • Jupyter Notebook

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