Using ML.NET to Build Machine Learning Models

Solution Review: Adding Fields to a Machine Learning Model

Explore how to enhance ML.NET machine learning models by adding new feature and label fields. Understand how to modify data classes and update the training pipeline to include multiple features and labels for improved model flexibility.

We'll cover the following...

Solving the challenge

1.Introduction to ML.NET

2.Machine Learning Fundamentals

3.Selecting a Problem for Machine Learning

4.Built-In Supervised Learning Tasks in ML.NET

5.Built-In Unsupervised Learning Tasks in ML.NET

6.Deep Learning and Neural Networks

7.Automating Machine Learning Tasks with AutoML

8.Saving and Consuming Machine Learning Models

Mini Project

9.Wrapping Up

Project

10.Appendix

Solution Review: Adding Fields to a Machine Learning Model