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