The problem Cyber Intrusion prevention using Machine Learning solves

The CICIDS dataset is a record made by the Canadian Institute of cybersecurity which is a record on Intrusions detected on their system and the dataset was recorded over a week period and then labeled to which attack category the instance responds to and then that dataset is used by my project to identify and detect cyber attacks at an early stage so that the request being made to the system is not a harmful one and is safe to pass through to the system.

Challenges I ran into

The size of the dataset was a huge problem and the capacity of my laptop to handle such a large dataset was not enough.
To mitigate such problem I used Google Colab that allowed me to run and develop the project on the colab platform.