Lab 1 : - ML.NET C# 1 hour training.
In this lab will discuss on following topics using .NET and C# technologies for understanding Machine Learning -
Chapter 1 - Defining Artificial intelligence and Machine Learning.
Chapter 2 - Fundamentals of Training data, Features, Label, Alogrithm and Model.
Chapter 3 - Creating the feedback predictive system.
Chapter 4 - pre-requisites for doing ML.NET.
Chapter 5 - Defining the class structure of training data.
Chapter 6 - Creating feedback system training data.
Chapter 7 - ML.NET and IDataView.
Chapter 8 - Transforms, FeatureText and Vectors.
Chapter 9 - ML.NET Pipeline.
Chapter 10 - Choosing the Algorithm - Binary classification.
Chapter 11 - Creating the final MODEL.
Chapter 12 - Testing Accuracy of the MODEL.
Chapter 13 - Using the MODEL.
Chapter 14 - Revisiting the full flow of ML.NET process.