Predictive Analytics Using R and SQL

Predictive Analytics Using R and SQL

PASS Data Community Summit via YouTube Direct link

Methodology Approach

12 of 45

12 of 45

Methodology Approach

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Classroom Contents

Predictive Analytics Using R and SQL

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  1. 1 Introduction
  2. 2 Questions
  3. 3 Sponsors
  4. 4 Past Summit
  5. 5 Agenda
  6. 6 What is Data Science
  7. 7 What do we want to achieve
  8. 8 The objective predict
  9. 9 The data science process
  10. 10 Data Profiling
  11. 11 Our Studio
  12. 12 Methodology Approach
  13. 13 Typical Problems
  14. 14 Demo
  15. 15 Missing or Incomplete Data
  16. 16 Create Data Partition
  17. 17 Build Support Vector Machine
  18. 18 Test Model
  19. 19 Customer Keys
  20. 20 Probability
  21. 21 Save model to disk
  22. 22 Text data
  23. 23 CSV file
  24. 24 Why am I showing this
  25. 25 Plotting the data
  26. 26 Ronald Reagan
  27. 27 Creating Data Sets
  28. 28 Formatting Data Sets
  29. 29 tfidf
  30. 30 Data
  31. 31 Training Data
  32. 32 Results
  33. 33 Recap
  34. 34 Preparing Data
  35. 35 Data Model
  36. 36 Data Science
  37. 37 Algorithms
  38. 38 Classification
  39. 39 Training and Testing
  40. 40 Principles of Predictive Analytics
  41. 41 Wheres the Data
  42. 42 Predict Churn
  43. 43 Problems Mistakes
  44. 44 Questions and Answers
  45. 45 Outro

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