Machine Learning with ML.Net for Absolute Beginners

Use your dotnet skills for building Machine Learning apps using ML.Net

Note: This course is designed with ML.Net 1.5.0-preview2

Machine Learning is learning from experience and making predictions based on its experience.

In Machine Learning, we need to create a pipeline, and pass training data based on that Machine will learn how to react on data.

ML.NET gives you the ability to add machine learning to .NET applications.

We are going to use C# throughout this series, but F# also supported by ML.Net.

ML.Net officially publicly announced in Build 2019.

It is a free, open-source, and cross-platform.

It is available on both the dotnet core as well as the dotnet framework.

The course outline includes:

• Introduction to Machine Learning. And understood how it’s different from Deep Learning and Artificial Intelligence.
• Learn what is ML.Net and understood the structure of ML.Net SDK.
• Create a first model for Regression. And perform a prediction on it.
• Evaluate model and cross-validate with data.
• Load data from various sources like file, database, and binary.
• Filter out data from the data view.
• Export created the model and load saved model for performing further operations.
• Learn about binary classification and use it for creating a model with different trainers.
• Perform sentimental analysis on text data to determine user’s intention is positive or negative.
• Use the Multiclass classification for prediction.
• Use the TensorFlow model for computer vision to determine which object represent by images.
• Then we will see examples of using other trainers like Anomaly Detection, Ranking, Forecasting, Clustering, and Recommendation.
• Perform Transformation on data related to Text, Conversion, Categorical, TimeSeries, etc.
• Then see how we can perform AutoML using ModelBuilder UI and CLI.
• Learn what is ONNX, and how we can create and use ONNX models.
• Then see how we can use models to perform predictions from ASP.Net Core.

Who this course is for:

• This is for newbies who want to learn Machine Learning
• Developer who knows C# and want to use those skills for Machine Learning too
• A person who wants to create a Machine Learning model with C#
• Developer who want to create Machine Learning

 Introduction

•     Intro to Course
•     What is Machine Learning?
•     ML v/s AI v/s DL
•     What is ML.Net?
•     Setting up Environment
•     ML.Net SDK
•     ML.Net Flow
•     ML Terminology
•     Section Summary

  
     
Creating first program
  

•     Create Regression
•     Evaluate Model: with Test Dataset
•     Evaluate Model: with same Dataset
•     Cross Validate Model
•     Algorithms & Hyperparameters
•     Section Summary

  
     
Data Load and save
    

•     Load data from TextFile
•     Load data from Multiple TextFile
•     Load data from Binary
•     Load data from Database
•     Save data
•     Filter data
•     Section Summary

  
  
Model save and load

  

•     Section Introduction
•     Save Model
•     Load Model

  
  
Binary Classification
  

•     Binary Classification
•     Logistic regression
•     Sentiment Analysis - 1

  
  
  

What you'll learn

• Create a Machine Learning app with C#
• Use TensorFlow or ONNX model with dotnet app
• Using Machine Learning model in ASP dotnet
• Use AutoML to generate ML dotnet model

  
  
  
   

Click Here :- https://www.udemy.com/course/machine-learning-with-mlnet-for-absolute-beginners/?ranMID=39197&ranEAID=uyk7xLsd11Q&ranSiteID=uyk7xLsd11Q-Ww7Zni03_ReX2soks1Rx6g&LSNPUBID=uyk7xLsd11Q

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