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

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