Machine Learning Crash Course With ML.NET

Machine Learning Crash Course With ML.NET

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- Unsupervised Learning

5 of 21

5 of 21

- Unsupervised Learning

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Classroom Contents

Machine Learning Crash Course With ML.NET

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  1. 1 - Intro
  2. 2 - What is Machine Learning?
  3. 3 - Types of Machine Learning Systems
  4. 4 - Supervised Learning
  5. 5 - Unsupervised Learning
  6. 6 - The Machine Learning Process
  7. 7 - What is ML.NET?
  8. 8 - Benefits of ML.NET
  9. 9 - ML.NET Model Builder
  10. 10 - ML.NET Demo: The data
  11. 11 - ML.NET Demo: Installing ML.NET
  12. 12 - ML.NET Demo: Creating the ML Context
  13. 13 - ML.NET Demo: Loading in the data
  14. 14 - ML.NET Demo: Splitting the data
  15. 15 - ML.NET Demo: Extract Features
  16. 16 - ML.NET Demo: Building the Pipeline
  17. 17 - ML.NET Demo: Create Model and Make Test Predictions
  18. 18 - ML.NET Demo: Evaluate the Model
  19. 19 - ML.NET Demo: Running the Program
  20. 20 - ML.NET Model Builder Demo
  21. 21 - Conclusion

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