Coder Social home page Coder Social logo

mlnet-tutorial's Introduction

ML.NET tutorial

This repository contains a series of tutorials that will teach you how to use ML.NET in your .NET core applications.

Download the slides

Topics

The following topics are covered in this tutorial:

  1. Getting started
  2. Loading data
  3. Training models
  4. Testing models
  5. Using models

Bonus section: Automated ML

System Requirements

You'll need a laptop running Mac, Windows, or Linux with .NET Core 2.2 installed. You can get the .NET Core SDK here: https://dotnet.microsoft.com/

In addition to this, please make sure you have either Visual Studio 2019 or VSCode installed.

Getting started

Please clone this repository to disk for the best experience during the tutorial. It includes the solution files as well as some starter files.

git clone https://github.com/wmeints/mlnet-tutorial.git

After cloning the repository, start with the Getting started section.

mlnet-tutorial's People

Contributors

wmeints avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.