AML-Project

Building a predictive model (i.e. a machine learning classifier) capable of distinguishing between “bad” traffic, called intrusions or attacks, and “good” normal traffic.

This is a group task with individual element, and you will work in a group of 5 students.
Tasks to be completed:
• Team forming
• Planning
• Searching literature
• Pre-processing
• Selecting features
• Exploring and selecting ML algorithms
• Refining ML algorithms
• Evaluating model and analysing the results
• Future work



P.S.
Anaconda installation https://towardsdatascience.com/installing-keras-tensorflow-using-anaconda-for-machine-learning-44ab28ff39cb