This interactive course will teach network security professionals machine learning techniques and applications for network data. This course is a continuation of the skills taught in the Crash Course in Data Science for Hackers. Students will learn various machine learning methods, applications, model selection, testing, and interpretation. Participants will write code to prepare and explore their data and then apply machine learning methods for discovery. 

A non-exhaustive list of what will be covered include:

• Machine Learning Introduction and Terminology
• Foundations of Statistics 
• Python Machine Learning Packages Introduction
• Data Exploration and Presentation
• Supervised Learning Methods
• Unsupervised Learning Methods
• Model Selection and Testing 
• Machine Learning Applications for Network Data