Advanced Predictive Analytics with R

  • Regression boosting for count variables

  • Boosting for Discrete response variables

  • Boosting for Continuous Response variable

  • Boosting for Multicategory Classification

  • Boosting for Binary Classification

  • Overview of Boosting

  • Random Forests for Numerical Prediction

  • Random Forests for ordinal response variable

  • Random Forest for survival data

  • Random Forests for Binary Classification

  • Random forests for Multi category classifications

  • Introduction to Random Forests

  • Neural Networks for numerical prediction

  • Neural Networks for Classification

  • Support Vector Regression

  • Support Vector Classification for Multiple categories

  • Binary Classification and Novelty Detection

  • Overview of Support Vector Machines

  • Decision tree for ordinal response variable

  • Survival Trees

  • Decision Trees for Count Data

  • Regression Trees

  • Binary classification tree models

  • Classification trees with more than 2 categories

  • Introduction to Decision Trees

  • Evaluating Model Performances

  • Neural Networks