Machine Learning using ML.NET
4.0 (1 rating)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
24 students enrolled

Machine Learning using ML.NET

Learn machine learning using ML.NET
4.0 (1 rating)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
24 students enrolled
Last updated 2/2020
English
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Current price: $16.99 Original price: $24.99 Discount: 32% off
5 hours left at this price!
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This course includes
  • 1 hour on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Learn machine learning techniques using ML .Net
  • Understanding How to use Model Builder in ML .Net
Course content
Expand all 15 lectures 55:59
+ Introduction
7 lectures 23:28

Introduction to Machine Learning

Preview 02:30

Introduction to ML.NET

Preview 01:17

How to use ML.NET CLI

Preview 01:50

Getting Started with ML.NET using Model Builder

Preview 03:11

Installing ML.NET CLI

Preview 03:49

How to use ML.NET CLI

How to use ML.NET CLI
07:57

How to use ML.NET API

How to use ML.NET API
02:54
+ Sentiment Analysis using Model Builder
2 lectures 09:53

Picking up a Scenario & Training/Evaluating Model

Picking up a Scenario & Training/Evaluating Model
04:13

Generate Code & Consuming Models

Generate Code & Consuming Models
05:40
+ Price Predictions using Model Builder
2 lectures 04:08

Picking up a Scenario & Training/Evaluating Model

Picking up a Scenario & Training/Evaluating Model
01:42

Generate Code & Consuming Models

Generate Code & Consuming Models
02:26
+ Movie Recommendation using Model Builder
2 lectures 10:54

Matrix Factorization - Movie Recommendation

Matrix Factorization - Movie Recommendation
07:21

Matrix Factorization - Movie Recommendation

Field Aware Factorization Machines - Movie Recommendation
03:33
+ Github Issue Classification
1 lecture 04:25

Issue Classification using Model Builder

Issue Classification using Model Builder
04:25
+ Conclusion and Code Download
1 lecture 03:11

Conclusion and Code Download

Conclusion and Code Download
03:11
Requirements
  • Interest in learning new technologies
  • Basic programming skillset
  • Awareness of .Net Framework and C#
Description

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...

Who this course is for:
  • Web Developers
  • Software Developers
  • Data Scientists
  • Students interested in learning machine learning using ML .Net