Advanced Python Libraries for Data Science

Advanced Python Libraries for Data Science

Data Science Festival via YouTube Direct link

Goals

4 of 25

4 of 25

Goals

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Advanced Python Libraries for Data Science

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  1. 1 Intro
  2. 2 Introduction
  3. 3 Outline
  4. 4 Goals
  5. 5 Cyclearn
  6. 6 Scikitlearn
  7. 7 Data Processing Functions
  8. 8 Preprocessing Functions
  9. 9 Model Support
  10. 10 Model Functions
  11. 11 Builtin Data Sets
  12. 12 Making Data
  13. 13 Pipeline
  14. 14 Google Collab
  15. 15 Data
  16. 16 Data dummies
  17. 17 Scaling Imputation
  18. 18 Logistic Regression
  19. 19 Cross Validation
  20. 20 Gradient Boost
  21. 21 Retrieve Models
  22. 22 Resources
  23. 23 What does TensorFlow do
  24. 24 TensorFlow can be used
  25. 25 Tensorflow Code

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