Network Intrusion Model using Machine Learning
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In this Video we will talk about Network Intrusion Model using Machine Learning.
Detecting network intrusion using various machine learning algorithms. Monitor a network or system for malicious activity and protects a computer network from unauthorized access from users, including perhaps insider. The intrusion detector learning task is to build a predictive model (i.e. a classifier) capable of distinguishing between ‘bad connections’ (intrusion/attacks) and a ‘good (normal) connections’.
Dataset Taken from Kaggle : https://www.kaggle.com/datasets/sampa...
From Code visit my Github,
Github Link : https://github.com/SulemanNavalur/Net...
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