This is the code repository for Hands-On Machine Learning for .NET Developers[Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
ML.NET enables developers to utilize their .NET skills to easily integrate machine learning into virtually any .NET application. This course will teach you how to implement machine learning and build models using Microsoft's new Machine Learning library, ML.NET. You will learn how to leverage the library effectively to build and integrate machine learning into your .NET applications.
- Quickly implement machine learning algorithms directly within your current cross-platform .Net applications, such as ASP.Net Web.APIs, desktop applications, and .NET core console apps
- Use the advances in machine learning with models customized to your needs
- Automatically evaluate different machine learning models fast using AutoML, Model Builder, and CLI tools
- Improve and retrain your models for better performance and accuracy
- Basic overview of machine learning through a hands-on approach
- Use different machine learning algorithms to solve problems such as sentiment prediction, document classification, image recognition, product recommender systems, price predictions, and Bitcoin price forecasting
- Data loading and preparation for model training
- Leverage state of the art TensorFlow and ONNX models directly in .NET
TThis course is for .NET developers who want to implement custom machine learning models using ML.NET and ML developers who are looking for effective tools to implement various machine learning algorithms. This course is also suitable for data scientists who want to implement machine learning in .Net. Prior knowledge (and a basic understanding) of C# and .Net are necessary. However, prior machine learning knowledge or learning Python are not required.
This course has the following requirements:
Understanding of C# and ASP.NET
Software Requirements: Microsoft Visual Studio IDE,
Hardware Requirements: Modern laptop or desktop
-
[Ionic Framework: Tips, Tricks, and Techniques Video