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