Online Python skope-rules Training in US

This course introduces participants to the Python programming language. Upon completion, students will be capable of writing complex Python programs that address a broad range of subject matter areas. Key topics include language components, working with professional integrated development environments (IDEs), control flow structures, strings, input/output operations, collections, classes, modules, and regular expressions. The curriculum is enhanced with numerous hands-on labs, solutions, and code examples to reinforce learning. After completing the course, students will be able to demonstrate knowledge and understanding of Python security principles for government applications.

In this instructor-led, live training in US (onsite or remote), participants will learn how to use Python skope-rules to automatically generate rules based on existing data sets for government applications. By the end of this training, participants will be able to: - Utilize skope-rules to extract rules from available data. - Apply skope-rules to perform classification tasks, which are particularly useful in supervised anomaly detection and imbalanced classification scenarios. - Generate rules for classifying new incoming data. - Develop rules to address real-world problems such as fraud detection, predictive maintenance, intrusion detection, insurance application approvals, and more, tailored specifically for government use.