Contact Us

About R PROGRAMMING TRAINING

About R PROGRAMMING TRAINING

Duration: 3 Month(s)

R Basics

  • R Base Software
  • Understanding CRAN
  • RStudio The IDE
  • Sequence of Numbers
  • Vectors
  • Basic Operations
  • Operators and Types
  • R Functions

 

 

Logistic Regression in R

  • Reason for Logistic Regression
  • The Logistic Transform
  • Logistic Regression Modelling
  • Model Optimisation
  • Understanding ROC Curve
  • Default Modelling using Logistic Regression in R

 

 

Decision Trees

  • Theory of Entropy & Information Gain
  • Stopping Rules
  • Cross Validations for Overfitting Problem
  • Pruning as a Solution for Overfitting
  • Ensemble Learning
  • Bootstrap Aggregation
  • Random Forests
  • Intrusion Detection in IT Network

 

 

Linear Regression in R

  • Covariance and Correlation
  • Multivariate Analysis
  • Hypothesis Testing
  • Limitations of Regression
  • Business Case: Managing Credit Risk
  • Loss Given Default using Linear Regression

 

 

Support Vector Machine

  • Classification as a Hyper Plane Location Problem
  • Motivation for Linear Support Vectors
  • Quadratic Optimization
  • Non Linear SVM
  • Kernel Functions
  • Default Modelling using SVM in R

Important links In R PROGRAMMING TRAINING