This course aims to teach learners how Machine Learning can enhance cybersecurity practices by analyzing threats, automating tasks, and responding to security incidents. The course covers topics such as Python basics, Anaconda installation, Jupyter Notebook usage, and essential Python packages for Machine Learning. The teaching method includes live events and practical sessions. The intended audience includes individuals interested in cybersecurity, machine learning, and automation in security operations.
Overview
Syllabus
Introduction
Agenda
Install Anaconda
Introduction to Cyber Security
Types of Cyber Crimes?
Who Motivates Cyber Criminals?
Machine Learning
Types of Machine Learning
Anaconda Practical
End
Taught by
INFOSEC TRAIN
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