Using ML.NET to Build Machine Learning Models

Solution Review: Retraining a Machine Learning Model

Explore the process of retraining and saving machine learning models using ML.NET. Understand how to load data, train, and save models, and work with ONNX and TensorFlow formats to deploy models effectively.

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: Retraining a Machine Learning Model