DescriptionProgram StructureEligibilityContact

Here you will learn R’s most powerful machine learning techniques like how to evaluate performance using regression and classification, how to improve model parameters through cross validation and how to preprocess data before fitting models to make accurate prediction.

  • Regression models: fitting them and evaluating their performance
  • Classification models: fitting them and evaluating their performance
  • Tuning model parameters to improve performance
  • Pre-processing your data
  • Selecting models: a case study in churn prediction

Duration: 4 Hours

Mode: Online Instructor- Led

Fees: $29/ Monthly (Free access available)

  • Basics of R and statistics will help
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