Last updated 2/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 562.55 MB | Duration: 0h 56m
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.NETÂ 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
Homepage
https://www.udemy.com/course/machine-learning-using-ml-dot-net/
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