this project was developed by students of Cloud M1
Malware classification project The objective of this project is to build
an anti-malware based on the training of a machine learning (AI) algorithm
with data from executables associated with real malware and healthy executables.
This approach is an alternative to the traditional signature-based approach.
Its advantage is to allow the detection of unknown malware (zero-day malware).