Local, instructor-led live Python skope-rules training courses demonstrate through interactive hands-on practice how to use skope-rules to automatically generate rules based on existing data sets.
Python skope-rules training is available as "onsite live training" or "remote live training". Macao onsite live Python skope-rules trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.
NobleProg -- Your Local Training Provider
Testimonials
I like to combine the actual ML application scenarios.
交银康联
Course: Machine Learning with Rules using Python skope-rules
Machine Translated
Python skope-rules Course Outlines in Macao
Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
This course introduces the student to the Python language. Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions. The course is supplemented with many hands-on labs, solutions, and code examples.
After Completing the course students will be able to demonstrate knowledge and understanding of Python Security Principles.
After Completing the course students will be able to demonstrate knowledge and understanding of Python Security Principles.
14 hours
Overview
In this instructor-led, live training in Macao (onsite or remote), participants will learn how to use Python skope-rules to automatically generate rules based on existing data sets.
By the end of this training, participants will be able to:
- Use skope-rules to extract rules from available data.
- Apply skope-rules to carry out classification, particularly useful in supervised anomaly detection, or imbalanced classification.
- Generate rules for classifying new incoming data.
- Fit rules to address real-world problems in fraud detection, predictive maintenance, intrusion detection, insurance application approvals, etc.
By the end of this training, participants will be able to:
- Use skope-rules to extract rules from available data.
- Apply skope-rules to carry out classification, particularly useful in supervised anomaly detection, or imbalanced classification.
- Generate rules for classifying new incoming data.
- Fit rules to address real-world problems in fraud detection, predictive maintenance, intrusion detection, insurance application approvals, etc.
Other countries
Consulting in Macao
Weekend Python skope-rules courses, Evening Python skope-rules training, Python skope-rules boot camp, Python skope-rules instructor-led, Weekend Python skope-rules training, Evening Python skope-rules courses, Python skope-rules coaching, Python skope-rules instructor, Python skope-rules trainer, Python skope-rules training courses, Python skope-rules classes, Python skope-rules on-site, Python skope-rules private courses, Python skope-rules one on one training
.jpg "international air transport association (iata)")
.png "european space agency (esa)")
.png "aeronautical radio, incorporated (arinc)")
