Forecast Any Mathematical Number Sequence with Regression - Machine Learning

Forecast Any Mathematical Number Sequence with Regression - Machine Learning

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- Generating Sequence

18 of 28

18 of 28

- Generating Sequence

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Forecast Any Mathematical Number Sequence with Regression - Machine Learning

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  1. 1 - Tutorial Starts
  2. 2 - Content Introduction
  3. 3 - First Exercise 1/2 Starts
  4. 4 - Adding noise to number sequence
  5. 5 - Number generator and plot Function
  6. 6 - Uniform vs Exponential sequence
  7. 7 - Side by Side sequence Plotting
  8. 8 - y = x*x function series sequence generation
  9. 9 - y = x*x + x + 1 function series sequence generation
  10. 10 - y = -x*x -x -1 function series sequence generation
  11. 11 - y = -x*x + const function series sequence generation
  12. 12 - y = expx function series sequence generation
  13. 13 - y = logx function series sequence generation
  14. 14 - y = sinx function series sequence generation
  15. 15 - y = cosx function series sequence generation
  16. 16 - y = arctanx function series sequence generation
  17. 17 - Second Exercise 2/2 Starts
  18. 18 - Generating Sequence
  19. 19 - Selecting X and y for ML
  20. 20 - Defining Target Series for forecasting
  21. 21 - Linear Regression with Scikit-learn
  22. 22 - Regression Coefficient
  23. 23 - Generating new number using regression model
  24. 24 - Number Series Validation
  25. 25 - Sequence forecasting for Sinx
  26. 26 - Sequence forecasting for Cosx
  27. 27 - Saving notebooks to GitHub
  28. 28 - Recap

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