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Section 1: Distribution, MLE, Exponential Dispersion Family & GLM.
Section 2: Logistic Regression.
Section 3: Categorical variable & likelihood method.
Section 4: Interactions & Multicollinearity.
Section 5: Diagnostics.
Section 6: Poisson Regression.
Section 7: More about Poisson Models & Multinomial Models.
Section 8: Ordinal Response Models.
Section 9: Overdispersed & Skewed Data.
Section 10: Generalized Additive Model.
Section 11: Tree-Based Methods.
Section 2: Comparison of different link functions.
Section 5: Different methods for detecting outliers.
Section 10: Different methods for performing non-parametric regression.
Section 11: Visualization of a classification tree.
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