Data Mining and Knowledge Discovery

  1. Regression Analysis
    1. Regression Fundamentals
      1. Relationship Modeling
        1. Dependent and Independent Variables
          1. Parametric vs Non-Parametric Methods
            1. Model Assumptions
            2. Linear Regression Models
              1. Simple Linear Regression
                1. Least Squares Estimation
                  1. Model Interpretation
                    1. Residual Analysis
                    2. Multiple Linear Regression
                      1. Multiple Predictors
                        1. Multicollinearity Issues
                          1. Variable Selection
                          2. Polynomial Regression
                            1. Regularized Linear Models
                              1. Ridge Regression
                                1. Lasso Regression
                                  1. Elastic Net
                                2. Non-Linear Regression
                                  1. Non-Parametric Regression
                                    1. Kernel Regression
                                      1. Spline Methods
                                        1. Local Regression
                                        2. Logistic Regression
                                          1. Binary Logistic Regression
                                            1. Multinomial Logistic Regression
                                              1. Ordinal Logistic Regression
                                                1. Model Diagnostics
                                                2. Regression Evaluation
                                                  1. Residual Analysis
                                                    1. Goodness of Fit Measures
                                                      1. Cross-Validation
                                                        1. Prediction Intervals

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                                                      4. Classification Methods

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                                                      6. Clustering Analysis