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<h2>Business context</h2>With the development of large open networks, security threats for the networks have increased significantly in the past few years. Different types of attacks possess different types of threats to network and network resources. Many different detection mechanisms have been proposed by various researchers. This is an attempt to predict such attacks in the network using various Machine Learning techniques available.</div>
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<h2>Business problem</h2>The task is to build network intrusion detection system to detect anomalies and attacks in the Network. There are two problems:<ol><li>Binomial Classification: Predict wether an activity is normal or an anomoly.</li><li>Multinomial classification: Predict the type of attack - normal or DOS or PROBE or R2L or U2R.</li></ol>

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</div>Please visit my git repo to find out more: <a href="https://github.com/HarishJul/ML-Projects/blob/master/Intrusion%20Detection%20in%20Networks/intrusion_detection.ipynb">https://github.com/HarishJul/ML-Projects/blob/master/Intrusion%20Detection%20in%20Networks/intrusion...</a><br><br>

Machine Learning in cyber security

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