Course Outline


  • Why extract rules from data?

Overview of Sklearn Modules (Decision Tree/Random Forrest)

Installing and Configuring skope-rules

Case Study: Detecting Credit Default Rates

Importing Data

Using SkopeRules for Imbalanced Classification

Training the SkopeRules Classifier

Extracting the Rules

Fusing the Rules

Fitting Classification and Regression Trees to Sub-samples

Selecting Higher Precision Rules

Testing Higher Precision Rules

Summary and Conclusion


  • Python programming experience
  • Knowledge of machine learning algorithms


  • Developers
 14 Hours

Number of participants

Price per participant

Testimonials (5)

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