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45:10
YouTube
Wisdom ML
Malicious URL Detection Using Machine Learning in Python | NLP
In this video, we have demonstrated a machine learning approach to detect Malicious URLs. We have created 22 lexical features from raw URLs and trained three machine learning models XG Boost, Light GBM, and Random forest. Further, we have compared the performance of the 3 machine learning models and also plotted the feature importance of Random ...
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AN ACTIVELY RESISTING SUSPECT CAN BECOME ACTIVELY COMBATIVE IN AN INSTANT Active resistance is common, whether it’s pulling away, tensing up, or physically struggling to avoid being taken into custody. But the reality is that resistance can escalate in an instant. A suspect who starts by trying to simply get away from the officer can quickly transition to fighting, attempting to grab a weapon, or even trying to disarm an officer. That’s why our curriculum isn’t built around one-dimensional solut
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AN ACTIVELY RESISTING SUSPECT CAN BECOME ACTIVELY COMBATIVE IN AN INSTANT Active resistance is common, whether it’s pulling away, tensing up, or physically struggling to avoid being taken into custody. But the reality is that resistance can escalate in an instant. A suspect who starts by trying to simply get away from the officer can quickly transition to fighting, attempting to grab a weapon, or even trying to disarm an officer. That’s why our curriculum isn’t built around one-dimensional solut
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