26 November 2019

Supervised and Unsupervised Learning supported with R Coding

Business Intelligence and Analytics

  • Data Exploration and Multiple Linear Regression (MLR) using R
  • Data Warehouse Design
  • ROC Curve Analysis to Evaluate Classification Performance (includes Confusion Matrix)
  • Decision Tree and Information Gain
  • Clustering
  • Association Rule Mining

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