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Special Topics: Introduction to R

This was a half semester course I taught, introducing masters students to the R programming language. This was used as a lens for  looking at a variety of data science and statistical techniques. This was largely a one off, and is therefore largely archival for now.

Notes:

  • Lesson 1: Introduction to R ( Coming Soon )
  • Lesson 2: Statistical Tests and Simulation ( Coming Soon )
  • Lesson 3: Regression and Regression Problems ( Coming Soon )
  • Lesson 4: Classification ( Coming Soon )
  • Lesson 5: Trees and Random Forests ( Coming Soon )
  • Lesson 6: Boosting and Parameter Selection ( Coming Soon )
  • Lesson 7: Unsupervised Learning ( Coming Soon )
  • Lesson 8: SVMs, Keras, GANs, Deep Learning ( Coming Soon )
  • Problems – Classification ( Coming Soon )
  • Problems – Tests and Regression ( Coming Soon )
  • Problems – Trees ( Coming Soon )
  • Project: Clustering Sensitivity ( Coming Soon )