
Introduction to Machine Learning
Introduction to ML.NET
How to use ML.NET CLI
Getting Started with ML.NET using Model Builder
Installing ML.NET CLI
How to use ML.NET CLI
How to use ML.NET API
Picking up a Scenario & Training/Evaluating Model
Generate Code & Consuming Models
Picking up a Scenario & Training/Evaluating Model
Generate Code & Consuming Models
Matrix Factorization - Movie Recommendation
Matrix Factorization - Movie Recommendation
Issue Classification using Model Builder
Conclusion and Code Download
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...