Scikit-learn Professional Practitioner Certification
Issued by
Probabl
The Scikit-learn Professional Practitioner Certification recognizes advanced abilities in applying machine learning to business challenges. It includes feature engineering, decision tree models, random forests, and boosting methods. Candidates excel in cross-validation for non-i.i.d. data, imbalanced classification, and group structures, along with unsupervised methods like K-means and PCA, using these tools to deliver data-driven insights.
- Type Certification
- Level Intermediate
- Time Years
- Cost Paid
Skills
- Business Applications
- Critical Thinking
- Data Engineering
- Data handling
- Data Preprocessing
- Data Visualization
- Ensemble Models
- Feature Engineering
- Feature Selection
- Linear Models
- Machine Learning (ML)
- Model Optimization
- Model Tuning
- Neighbor-based Models
- Python Programming
- Scikit-learn (Sklearn)
- Scoring Metrics
- Tree-based Models
Earning Criteria
-
passed a 120 minutes exam with both practical and theoretical questions based on business use cases (+70% final grade).
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assessed on Kryterion's WebAssessor