Programming & Web Development Crash Courses - 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