Introduction to ML.NET or Machine Learning with .NET

Understand Machine Learning and how to use it with .NET and C# in a real world application using different examples

This course will help students understand what is Machine Learning, the process involved in Machine Learning and how we can do Machine Learning using .NET technologies or Libraries. This course throws light on some of the Machine Learning concepts, its applications, steps involved in building models and consuming those models using C#, .NET and Visual Studio. This course explains the steps involved in building models using different examples and different algorithms suited for each of the scenarios.

What you’ll learn

  • Understand what is Machine Learning.
  • Machine Learning basic concepts.
  • Machine Learning with .Net technologies.
  • ML .Net.
  • Create Machine Learning Models.
  • Machine Learning Algorithms.
  • Basic understanding about Data Science.
  • How Machine Learning works with examples.
  • Creating machine learning models using .net technologies.

Course Content

  • Course Overview –> 1 lecture • 1min.
  • Introduction to Machine Learning –> 2 lectures • 5min.
  • How Machine Learning Works –> 2 lectures • 4min.
  • ML.NET –> 5 lectures • 29min.
  • Conclusion –> 1 lecture • 1min.

Introduction to ML.NET or Machine Learning with .NET

Requirements

This course will help students understand what is Machine Learning, the process involved in Machine Learning and how we can do Machine Learning using .NET technologies or Libraries. This course throws light on some of the Machine Learning concepts, its applications, steps involved in building models and consuming those models using C#, .NET and Visual Studio. This course explains the steps involved in building models using different examples and different algorithms suited for each of the scenarios.

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