update readme

Author: cecilphillip

ML with .NET/README.md

@@ -2,8 +2,30 @@
 
 During this hour, you will be introduced to Machine Learning, Azure, and how to incorporate ML into your technical solutions. Whether you're building a web app or a video game, machine learning can help set your product apart.
 
-If you'd like to follow along, make sure you bring your Windows or Mac computer with Visual Studio Community 2019 already installed. Make sure you've installed with ASP.NET Core. 
+If you'd like to follow along, make sure you bring your Windows or Mac computer with Visual Studio Community 2019 already installed. Make sure you've installed with ASP.NET Core.
 
-Make sure you've also signed up for Azure. Remember, if you're a student, you can sign up for free *without* a credit card by signing up for [Azure for Students](https://azure.microsoft.com/en-us/free/students/).
+Make sure you've also signed up for Azure. Remember, if you're a student, you can sign up for free _without_ a credit card by signing up for [Azure for Students](https://azure.microsoft.com/en-us/free/students/).
 
-If you want to try it out afterwards, no problem! This repo will remain publicly available after the event as well. 
+If you want to try it out afterwards, no problem! This repo will remain publicly available after the event as well.
+
+## Demos
+
+- Sentiment Analysis Blazor [live](https://blazorsentimentanalysisproduction.azurewebsites.net) or [local](ScalableSentimentAnalysisBlazorWebApp/)
+- [Sentiment Analysis Training](BinaryClassification_SentimentAnalysis/)
+- [Model generation w/ Model Builder extension](AutoML/)
+- [Object Dection w/ ONNX model](ObjectDetection-Onnx/)
+- Jupyter Notebooks
+
+## ML .NET Links
+
+- [Get Started](http://dot.net/ml)
+- [Demos and Code Samples](http://aka.ms/mlnetsamples)
+- [YouTube Video Playlist](https://aka.ms/mlnetyoutube)
+- [Documentation](http://aka.ms/mlnetdocs)
+
+## Dataset Links
+
+- [ModelZoo](https://modelzoo.co/) - easily find pre-trained models for a variety of platforms and uses.
+- [Kaggle datasets](https://www.kaggle.com/datasets) - explore, analyze, and share quality data
+- [FiveThirtyEight](https://data.fivethirtyeight.com/) - data sets used in articles from https://fivethirtyeight.com
+- [/r/datasets/ on Reddit](https://www.reddit.com/r/datasets) - A place to share, find, and discuss Datasets.