Traversy Media | Machine Learning Crash Course With ML.NET @TraversyMedia | Uploaded September 2020 | Updated October 2024, 4 hours ago.
We will go over what machine learning is, what it can be used for and we will create a model using C# & ML.NET

Jon Wood YouTube Channel:
youtube.com/c/JonWood

Code:
github.com/jwood803/MLNet_CrashCourse/blob/master/MLNetCrashCourse/Program.cs

Data:
kaggle.com/camnugent/california-housing-prices

ML.NET:
dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet

Timestamps:
00:00 - Intro
00:20 - What is Machine Learning?
01:05 - Types of Machine Learning Systems
01:55 - Supervised Learning
02:36 - Unsupervised Learning
03:17 - The Machine Learning Process
05:26 - What is ML.NET?
05:42 - Benefits of ML.NET
08:01 - ML.NET Model Builder
07:49 - ML.NET Demo: The data
08:53 - ML.NET Demo: Installing ML.NET
09:37 - ML.NET Demo: Creating the ML Context
09:48 - ML.NET Demo: Loading in the data
11:47 - ML.NET Demo: Splitting the data
12:47 - ML.NET Demo: Extract Features
13:53 - ML.NET Demo: Building the Pipeline
15:43 - ML.NET Demo: Create Model and Make Test Predictions
16:21 - ML.NET Demo: Evaluate the Model
17:03 - ML.NET Demo: Running the Program
17:36 - ML.NET Model Builder Demo
20:44 - Conclusion