Using ML.NET to Build Machine Learning Models

Using ML.NET to Build Machine Learning Models

Learning machine learning basics and how to build machine learning models.

Intermediate

57 Lessons

40h

Certificate of Completion

Learning machine learning basics and how to build machine learning models.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Project
45 Playgrounds
8 Quizzes

This course includes

1 Project
45 Playgrounds
8 Quizzes

Course Overview

In this course, you will learn how to use ML.NET, which is a tool based on .NET architecture. It consists of a library and command line utility used for building machine learning models. It is so convenient to work with that a developer having little or no background in machine learning and data science can use it to build complex machine learning models. You will start with an overview of the key ML.NET features and the fundamentals of machine learning. Then, you will go through all types of built-in task...Show More

What You'll Learn

An understanding of machine learning fundamentals

The ability to use ML.NET to perform a wide range of machine learning tasks

In-depth knowledge of supervised and unsupervised machine learning

Familiarity with deep learning and its implementation using ML.NET

Hands-on experience of AutoML and the automatic model building process

What You'll Learn

An understanding of machine learning fundamentals

Show more

Course Content

1.

Introduction to ML.NET

2.

Machine Learning Fundamentals

3.

Selecting a Problem for Machine Learning

4.

Built-In Supervised Learning Tasks in ML.NET

5.

Built-In Unsupervised Learning Tasks in ML.NET

6.

Deep Learning and Neural Networks

7 Lessons

7.

Automating Machine Learning Tasks with AutoML

7 Lessons

8.

Saving and Consuming Machine Learning Models

6 Lessons

Building an Image Analysis Application

Project

9.

Wrapping Up

1 Lesson

10.

Appendix

2 Lessons

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Adaptive Learning

Explain with AI

AI Code Mentor

FOR TEAMS

Interested in this course for your business or team?

Unlock this course (and 1,000+ more) for your entire org with DevPath