Machine Learning Using Ml.Net

Learn machine learning using ML.NET

What you'll learn
Learn machine learning techniques using ML .Net
Understanding How to use Model Builder in ML .Net
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 like1. Sentiment Analysis2. Movie Prediction3. Issue Analysis4. Price Predictions for Taxi FaresIt 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…

Overview

Section 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

Section 2: Sentiment Analysis using Model Builder

Lecture 8 Picking up a Scenario & Training/Evaluating Model

Lecture 9 Generate Code & Consuming Models

Section 3: Price Predictions using Model Builder

Lecture 10 Picking up a Scenario & Training/Evaluating Model

Lecture 11 Generate Code & Consuming Models

Section 4: Movie Recommendation using Model Builder

Lecture 12 Matrix Factorization - Movie Recommendation

Lecture 13 Field Aware Factorization Machines - Movie Recommendation

Section 5: Github Issue Classification

Lecture 14 Issue Classification using Model Builder

Section 6: Conclusion and Code Download

Lecture 15 Conclusion and Code Download

Web Developers,Software Developers,Data Scientists,Students interested in learning machine learning using ML .Net