Machine Learning using ML.NET
- Development
- Apr 28, 2025

Machine Learning using ML.NET, available at $22.99, has an average rating of 3.45, with 15 lectures, based on 24 reviews, and has 143 subscribers.
You will learn about Learn machine learning techniques using ML .Net Understanding How to use Model Builder in ML .Net This course is ideal for individuals who are Web Developers or Software Developers or Data Scientists or Students interested in learning machine learning using ML .Net It is particularly useful for Web Developers or Software Developers or Data Scientists or Students interested in learning machine learning using ML .Net.
Enroll now: Machine Learning using ML.NET
Summary
Title: Machine Learning using ML.NET
Price: $22.99
Average Rating: 3.45
Number of Lectures: 15
Number of Published Lectures: 15
Number of Curriculum Items: 15
Number of Published Curriculum Objects: 15
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
This course gives you an inside view on how to use machine learning concepts for various use cases like
1. Sentiment Analysis
2. Movie Prediction
3. Issue Analysis
4. Price Predictions for Taxi Fares
It makes use of easy to use Model Builder framework provided by ML.NET which has predefined algorithms built to work on the above scenarios.
Apart from this it also allows us to build our custom models as well.
Using ML.NET you will be ready to start learning machine learning concepts in no time at all.
So let’s start learning today
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to Machine Learning
Lecture 2: Introduction to ML.NET
Lecture 3: How to use ML.NET
Lecture 4: Getting Started with ML.NET using Model Builder
Lecture 5: Installing ML.NET CLI
Lecture 6: How to use ML.NET CLI
Lecture 7: How to use ML.NET API
Chapter 2: Sentiment Analysis using Model Builder
Lecture 1: Picking up a Scenario & Training/Evaluating Model
Lecture 2: Generate Code & Consuming Models
Chapter 3: Price Predictions using Model Builder
Lecture 1: Picking up a Scenario & Training/Evaluating Model
Lecture 2: Generate Code & Consuming Models
Chapter 4: Movie Recommendation using Model Builder
Lecture 1: Matrix Factorization – Movie Recommendation
Lecture 2: Field Aware Factorization Machines – Movie Recommendation
Chapter 5: Github Issue Classification
Lecture 1: Issue Classification using Model Builder
Chapter 6: Conclusion and Code Download
Lecture 1: Conclusion and Code Download
Instructors

SkillBakery Studio
Start Learning Today
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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