Introduction to ML.NET or Machine Learning with .NET
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
Requirements
- Basic understanding of C#
- Basic knowledge of using Visual Studio
Description
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.
Who this course is for:
- C# Developers curious about data science
- Machine Learning aspirants wanting to implement machine learning with .net
- Web developers interested in getting started with Machine Learning
- Software engineers interested in getting started with Data Science
- Software Developers interested in getting started with Data Science
- Software Developers interested in getting started with Machine Learning
- Software engineers interested in getting started with Machine Learning
- Newbies to Machine Learning
- Newbies to Data Science
- C# developers interested in Machine Learning
- Developers interested in understanding predictive algorithms
Instructor
Full stack developer in Microsoft technologies especially ASP.NET, Xamarin Forms and Azure Cloud Services. Have been working on ASP.NET projects for the last 5 years and developed several Xamarin forms mobile applications as my hobby. My interest lies in learning and gaining hands on experience of some of latest technologies releasing everyday