Machine Learning using R: Training Contents

Training Contents

  • Modeling Framework Overview
  • Foundational Steps: Business Context, target Variable Definition, Data Preparation (e.g. reading, aggregation, missing value & outlier treatment etc )
  • Support Vector Machine (SVM) - Concepts & Terminology
  • SVM using R- A Case Study
  • Random Forest - Concepts & Terminology
  • Random Forest using R- A Case Study
  • Gradient Boosting (GBM) - Concepts & Terminology
  • GBM using R- A Case Study
  • Assignment Project for candidates