Machine Learning Crash Course With ML.NET

Machine Learning Crash Course With ML.NET

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:
http://youtube.com/c/JonWood

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

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

ML.NET:
https://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

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