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Technologies / Artificial Intelligence

Machine Learning with Rules Using Python skope-rules

Practical training on using the skope-rules library in Python to create interpretable rule-based machine learning models. Participants will learn methods for automatically generating readable rules from data and techniques for using them in data science projects. The program combines theory with intensive workshops during which participants implement their own solutions using skope-rules in real use cases.

Required Participant Preparation

  • Intermediate Python language knowledge

  • Basic machine learning knowledge

  • Experience with numpy and pandas libraries

  • Basic statistics knowledge

Benefits

  • Practical knowledge of the skope-rules library
  • Ability to create interpretable ML models
  • Capability to generate readable business rules
  • Knowledge of Python data science ecosystem integration
  • Skills in rule model evaluation and optimization
  • Knowledge of rule model deployment techniques
  • Certificate confirming skope-rules proficiency

Who is this training for?

Python developers interested in machine learning
Data Scientists seeking interpretable models
Data analysts working on explainable models
ML specialists focusing on model transparency
Domain experts wanting to automate rule discovery
ML engineers working in regulated sectors
AI consultants responsible for business implementations

Training program

01

Library fundamentals and capabilities

  • Integration with data science ecosystem
  • Data preparation for rule generation
  • Rule-based system architecture
02

Rule Model Implementation

  • Creating and training models
  • Rule extraction techniques from data
  • Learning parameter optimization
03

Rule quality evaluation

  • Advanced Applications
  • Integration with scikit-learn pipelines
  • Handling categorical and numerical data
  • Rule complexity reduction techniques
  • Rule visualization and interpretation
04

Deployment and Maintenance

  • Model serialization and deployment
  • Rule performance monitoring
05

Real-time model updates

  • Production system integration

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

The Machine Learning with Rules Using Python skope-rules training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Python developers interested in machine learning; Data Scientists seeking interpretable models; Data analysts working on explainable models.

Anna Polak
Anna Polak Opiekun szkolenia

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Funding Options

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Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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