Topic: url-classification Goto Github
Some thing interesting about url-classification
Some thing interesting about url-classification
url-classification,
User: abhiagwl
url-classification,Multi-label URL Classification
User: alicanyuksel
url-classification,To identify and extract features from URL that help classify URLs into benign/phishing and train an ML model with these features for classification.
User: arunabellgutteramesh
url-classification,
User: domantasm96
url-classification,QuickCharNet is a deep learning project that leverages an efficient character-level Convolutional Neural Network (CNN) for URL classification, aimed at enhancing Search Engine Optimization (SEO). The project includes datasets, model evaluation notebooks, and visualization scripts. Key features include data preprocessing, detailed model architecture
User: fardinrastakhiz
url-classification,multi-label url classification
User: hamzag737
url-classification,Identifying Suspicious URLs: An Application of Large-Scale Online Learning (Python Reproducibility Experiment)
User: johannes-garstenauer
url-classification,URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval
User: kennedyczar
url-classification,Proactive Malicious URL Detection: ML Defense 🌐🛡️"
User: orelz890
url-classification,Machine Learning model for URL Reputation dataset from UCI ML Repository
User: roshantanisha
url-classification,URL classification by Naive Bayes algorithm
User: shawon100
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