ML.Net C# Machine Learning Tutorial for Beginners | Machine Learning Step by Step | ML.NET in C#

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This video will teach you how to use C# ml.net for machine learning.


Timestamp -
00:00 Introduction
1:51 - Chapter 1 - Defining Artificial intelligence and Machine Learning.
2:55 - Chapter 2 - Fundamentals of Training data, Features, Label, Algorithm and Model.
5:30 - Chapter 3 - Creating the feedback predictive system.
6:19 - Chapter 4 - Pre-requisites for doing ML.NET.
10:26 - Chapter 5 - Defining the class structure of training data.
11:37 - Chapter 6 - Creating feedback system training data.
15:13 - Chapter 7 - ML.NETContext and IDataView.
17:37 - Chapter 8 - Transforms, FeatureText and Vectors.
19:01 - Chapter 9 - ML.NET Pipeline.
20:46 - Chapter 10 - Choosing the Algorithm - Binary classification.
24:05 - Chapter 11 - Creating the final MODEL.
25:00 - Chapter 12 - Testing Accuracy of the MODEL.
33:48 - Chapter 13 - Using the MODEL.
44:25 - Chapter 14 - Revisiting the full flow of ML.NET process.
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