Scikit-learn Associate Practitioner Certification
Issued by
Probabl
The Scikit-learn Associate Practitioner Certification validates foundational skills in machine learning with scikit-learn. It covers supervised learning, train-test splits, overfitting, data preprocessing, and building linear models. Candidates also demonstrate expertise in cross-validation, hyperparameter tuning, and comparing models with baselines, applying these skills to real-world datasets using scikit-learn pipelines.
- Type Certification
- Level Foundational
- Time Months
- Cost Paid
Skills
- Attention To Detail
- Business Applications
- Critical Thinking
- Data Analysis
- Data Manipulation
- Data Preprocessing
- Data Visualization
- Ensemble Models
- Linear Models
- Machine Learning (ML)
- Model Evaluation
- Neighbor-based Models
- Problem Solving
- Python Programming
- Scikit-learn (Sklearn)
- Scoring Metrics
- Statistical Knowledge
- Tree-based Models
Earning Criteria
-
assessed on Kryterion's WebAssessor
-
passed a 120 minutes exam with both practical and theoretical questions based on business use cases (+70% final grade).