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SAS Institute A00-402 Exam

Reference: https://www.sas.com/en_us/certification/credentials/advanced-analytics/machine-learning-specialist.html

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SASInstitute A00-402 Exam Syllabus Topics:

SectionObjectives
Supervised Learning Algorithms- Regression and classification models
  • 1. Logistic regression
    • 2. Linear regression
      - Tree-based models
      • 1. Random forest
        • 2. Gradient boosting
          • 3. Decision trees
            Model Training and Optimization- Model training workflows in SAS Viya Model Studio
            • 1. Pipeline creation and management
              • 2. Hyperparameter tuning
                - Model validation
                • 1. Performance metrics (AUC, accuracy, lift)
                  • 2. Cross-validation techniques
                    Data Preparation for Machine Learning- Feature engineering
                    • 1. Feature transformation techniques
                      • 2. Variable selection methods
                        - Data cleansing and preprocessing in SAS Viya
                        • 1. Encoding categorical variables
                          • 2. Handling missing values
                            Model Assessment and Deployment- Deployment in SAS Viya
                            • 1. Scoring pipelines
                              • 2. Model publishing
                                - Model evaluation
                                • 1. ROC and gain charts
                                  • 2. Confusion matrix interpretation

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