Prepping Data for Analysis in R

Prepping Data for Analysis in R

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Variable Treatment

25 of 26

25 of 26

Variable Treatment

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Classroom Contents

Prepping Data for Analysis in R

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  1. 1 Intro
  2. 2 Agenda
  3. 3 Workshop Overview
  4. 4 Data Preparation
  5. 5 Typical Data Problems
  6. 6 Example
  7. 7 We are dead values
  8. 8 Identifying missing values
  9. 9 Alternative approaches
  10. 10 Missing values
  11. 11 Pragmatic solution
  12. 12 Novel categorical levels
  13. 13 Training data
  14. 14 Problem statement
  15. 15 Capital categorical variables
  16. 16 Btree solution
  17. 17 Categorical variables
  18. 18 Using impact
  19. 19 Equity
  20. 20 Indicator Variables
  21. 21 Example Package
  22. 22 Treatment Path
  23. 23 Treatment Plan
  24. 24 Model Quality
  25. 25 Variable Treatment
  26. 26 Bad Days

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