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Showing posts from August, 2020

How to Get ASP NET Core 3.1 Model Binding Microsoft Sample Code ?

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The source (Where) to get the Microsoft sample code for model binding from the public ASP.NET Core repository on GitHub How to get only the required code with minimum hassle to get going? How to integrate it into our own ASP.NET Web project built with ASP.NET Core 3.1? Correct all the bugs after the integration to build the project successfully #aspnetcore31 #samplecodemicrosoft #githubrepository

Analyze sentiment of website comments in a web application using ML Net ...

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This is part 4 (last) part of the tutorials on sentiment analysis using ML.NET model builder. In this tutorial, we modify the web page to show the sentiments. JavaScript functions are added to make HTTP GET request to the handler with the user text, update the marker position dynamically as per the sentiment text. Also, an event handler function in JS is created that sends the user input to the OnGetAnalyzeSentiment page handler method using the earlier mentioned function to make HTTP GET request and update the marker on the web page using the second-mentioned function. This event handler is registered to work on the event of a change, an input and a paste in the text area. #sentimentanalysis #modelbuilder #mlnet #machinelearning

Analyze sentiment of website comments in a web application using ML Net ...

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This is part 3 of the tutorials on sentiment analysis. Learn how to analyze sentiment from comments in real-time inside a web application. This series of tutorials on sentiment analysis shows you how to create an ASP.NET Core Razor Pages application that classifies sentiment from website comments in real-time. In this tutorial, we learn how to: Evaluate the Model Add the Code to Make Predictions (following): Reference the trained model Configure the PredictionEngine Pool Create the Sentiment Analysis Handler #mlnet #machinelearningbasics #sentimentanalysis #modelbuilder

Analyze sentiment of website comments in a web application using ML Net ...

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Learn how to analyze sentiment from comments in real-time inside a web application. This series of tutorials on sentiment analysis shows you how to create an ASP.NET Core Razor Pages application that classifies sentiment from website comments in real-time. In this tutorial, you learn how to: Create an ASP.NET Core Razor Pages application Prepare and understand the data #mlnet #machinelearningbasics #sentimentanalysis #modelbuilder

How to Build Hello ML.Net World Machine Learning App with .NET Core

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This application solution is based on the Microsoft document at: https://docs.microsoft.com/en-us/dotnet/machine-learning/how-does-mldotnet-work#hello-mlnet-world This example constructs a linear regression model to predict house prices using house size and price data. This is a revised version of the earlier video in this playlist on linear regression and explains the basic mathematical concepts first before going for the coding.

A Simple ML.NET Linear Regression Machine Learning Application

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The code in the video tutorial project demonstrates the simplest ML.NET application. This application solution is based on the Microsoft document at: https://docs.microsoft.com/en-us/dotnet/machine-learning/how-does-mldotnet-work#hello-mlnet-world This example constructs a linear regression model to predict house prices using house size and price data. #machinelearning #datascience #artificialintelligence #mlnet #mlnettutorial Code: using Microsoft.ML; using Microsoft.ML.Data; using System; namespace Hello_ML.NET {     class Program     {         public class HouseData         {             public float Size { get; set; }             public float Price { get; set; }         }         public class Prediction         {             [ColumnName("Score")]             public float Price { get; set; }         }         static void Main(string[] args)         {             MLContext mlContext = new MLContext(); // create training data             HouseData[] houseData =

A Discussion on Must Watch Premium Videos Uploaded Recently

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My recently uploaded playlists and premium videos : Blazor CRUD Complete App in One Video How to Build ASP.NET Core 3.1 Blazor CRUD Application from Scratch With User Profile Data? https://youtu.be/0MFb0R68Bfg E-Commerce Playlist Create an E-Commerce Product Cart with ASP NET Core 3 1 – Part 1 https://youtu.be/4LlrjWvDjZQ Create an E-Commerce Product Cart with ASP NET Core 3 1 – Part 2 https://youtu.be/C2FX_37XBqM #RecentUploads #YouTubeChannel #PremiumVideos

Build Complete ASP.NET Core 3.1 Blazor CRUD Application from Scratch Wit...

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This is a single video that walks through building a complete ASP.NET Core 3.1 Blazor CRUD application with a Movie Database from scratch. The tutorial also shows how to incorporate authentication and authorization in the application to show only the logged-in user's data. The application also shows how to incorporate an animated loading indicator through a third party nuget package. The Blazor application uses Visual Studio 2019 IDE for development. #Blazorcrudapp #ASPNETCORE31BLAZOR #Userprofiledatablazor #loadingindicatorsblazor #buildblazorcrud

Create an E Commerce Product Cart with ASP NET Core 3 1 – Part 1

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This is part 1 of an E-Commerce app with Shopping Cart to be built from scratch using ASP.NET Core 3.1 MVC template. In this part, we shall : Create a Product Controller with Product view with a clickable BUY link View, Share, and Subscribe to support the channel. #aspnetcore31 #shoppingcartmvc #ecommerceaspnetcoremvc #ecommercetutorialstepbystep