Completed
- The Machine Learning Process
Class Central Classrooms beta
YouTube videos curated by Class Central.
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
