Cursuri Python skope-rules

Acest curs introduce elevul în limba Python . După finalizarea acestei clase, studentul va putea scrie programe Python non-banale care se ocupă de o mare varietate de domenii de subiect. Subiectele includ componente de limbă, care lucrează cu un IDE profesionist, constructe de flux de control, șiruri, I / O, colecții, clase, module și expresii regulate. Cursul este completat cu multe laboratoare practice, soluții și exemple de cod.

După finalizarea cursului, elevii vor putea demonstra cunoștințe și înțelegere a Principiilor de securitate Python .

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