Page 26 - E-catelog for advanced Course (2)

 Linearity

 Normality

 Multiple Linear Regression

 Model Quality metrics

 Deletion diagnostics

 Logistic Regression

 Multiple Logistic Regression

 Confusion matrix

 False Positive, False Negative

 True Positive, True Negative

 Sensitivity, Recall, Specificity, F1

 Receiver operating characteristics curve (ROC curve)

 Lift charts and Gain charts

 Regularization Techniques

 Lasso and Ridge Regressions

 Logit and Log Likelihood

 Category Baselining

 Modeling Nominal categorical data

 Data Mining Unsupervised - Clustering

 Hierarchial