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". The UAE 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
Translated by
practical part
Magdalena Orzędowska-Kubeczak - EduBroker Sp. z o.o.
Skope-rules is a Python machine learning module built on top of scikit-learn.
In this instructor-led, live training (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.
Format of the Course
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
- To request a customized training for this course, please contact us to arrange. - To learn more about skope-rules, please visit: https://github.com/scikit-learn-contrib/skope-rules
.jpg "abu dhabi company for onshore oil operations (adco)")
.png "oman airports management company (oamc)")
.png "european central bank (ecb)")
.jpg "european space agency (esa)")
