Merge pull request #74 from dotnet/update-readme

Update README

Author: beccamc

README.md

@@ -6,13 +6,7 @@ Welcome to the home of .NET interactive notebooks for C#!
 
 ### VS Code
 1. Download the .NET Coding Pack for VS Code for [Windows](https://aka.ms/dotnet-coding-pack-win) or [macOS](https://aka.ms/dotnet-coding-pack-mac).
-2. Install the [.NET Interactive Notebooks](https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.dotnet-interactive-vscode) extension.
-
-### Visual Studio
-1. Download and install [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/)
-2. Download and install [Notebook Editor Extension](https://marketplace.visualstudio.com/items?itemName=MLNET.notebook)
-
-For more information and resources, visit [Learn to code C#](https://dotnet.microsoft.com/learntocode).
+2. Install the [Polyglot Notebooks](https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.dotnet-interactive-vscode) extension.
 
 ## C# 101
 
@@ -38,35 +32,34 @@ Download or clone this repo and open the `csharp-101` folder in VS Code to get s
 
 ## Machine Learning
 
-Download or clone this repo and open the `machine-learning` folder in Visual Studio 2022 to get started with the machine-learning notebooks. Or, if you want just tap on one of the Notebook links below and automatically have it open in Visual Studio!
+Download or clone this repo and open the `machine-learning` folder to get started with the machine-learning notebooks.
 
-**Links below require [Visual Studio 2022](https://visualstudio.microsoft.com/downloads/) and [Notebook Editor Extension](https://marketplace.visualstudio.com/items?itemName=MLNET.notebook) 0.3.4 or greater**
 
 ### Getting Started Series
 
-| # | Topic                                      | VS Notebook Link                               | Github Link |
-|---|--------------------------------------------|------------------------------------------------|-------------|
-1  | Intro to Machine Learning                   | [01 Notebook](https://ntbk.io/ml-01-intro)     | [01 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/01-Intro%20to%20Machine%20Learning.ipynb) 
-2  | Data Prep and Feature Engineering           | [02 Notebook](https://ntbk.io/ml-02-data)      | [02 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/02-Data%20Preparation%20and%20Feature%20Engineering.ipynb)
-3  | Training and AutoML                         | [03 Notebook](https://ntbk.io/ml-03-training)  | [03 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/03-Training%20and%20AutoML.ipynb)
-4  | Model Evaluation                            | [04 Notebook](https://ntbk.io/ml-04-evaluation)| [04 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/04-Model%20Evaluation.ipynb)                      
+| # | Topic                                      | Notebook Link                               | 
+|---|--------------------------------------------|------------------------------------------------|  
+| 1  | Intro to Machine Learning                   |  [01 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/01-Intro%20to%20Machine%20Learning.ipynb) 
+| 2  | Data Prep and Feature Engineering           |  [02 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/02-Data%20Preparation%20and%20Feature%20Engineering.ipynb)
+| 3  | Training and AutoML                         |  [03 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/03-Training%20and%20AutoML.ipynb)
+| 4  | Model Evaluation                            |  [04 Notebook](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/04-Model%20Evaluation.ipynb)                      
 
 ### End to End (E2E) Notebooks  - examples of the entire ML process.
-| # | Topic                                      | VS Notebook Link                                                          | Github Link |
-|---|--------------------------------------------|---------------------------------------------------------------------------|-------------|
-E2E | Classification using AutoML (Iris Dataset) | [Iris E2E AutoML](https://ntbk.io/ml-e2e-iris)                            | [Iris E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Classification%20with%20Iris%20Dataset.ipynb)           
-E2E | Forecasting using Regression (Luna Dataset)| [Luna E2E Regression](https://ntbk.io/ml-e2e-luna-regression)             | [Luna E2E Regression](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20Regression%20with%20Luna%20Dataset.ipynb)                     
-E2E | Forecasting using SSA (Luna Dataset)       | [Luna E2E SSA](https://ntbk.io/ml-e2e-luna-ssa)                           | [Luna E2E SSA](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20SSA%20with%20Luna%20Dataset.ipynb)   
-E2E | Regression using AutoML (Taxi Dataset)     | [Taxi E2E AutoML](https://ntbk.io/ml-e2e-taxi)                            | [Taxi E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Regression%20with%20Taxi%20Dataset.ipynb)          
-E2E | Text Classification API (Yelp Dataset)     | [Text Classification API](https://ntbk.io/ml-e2e-text-classification-api) | [Text Classification API](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Text-Classification-API-with-Yelp-Dataset.ipynb)          
+| # | Topic                                      |  Github Link |
+|---|--------------------------------------------|--------------|
+E2E | Classification using AutoML (Iris Dataset) |  [Iris E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Classification%20with%20I
+E2E | Forecasting using Regression (Luna Dataset)|  [Luna E2E Regression](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%
+E2E | Forecasting using SSA (Luna Dataset)       |  [Luna E2E SSA](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Forecasting%20using%20SSA
+E2E | Regression using AutoML (Taxi Dataset)     |  [Taxi E2E AutoML](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Regression%20with%20Taxi%
+E2E | Text Classification API (Yelp Dataset)     |  [Text Classification API](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/E2E-Text-Classification-API-with-Yelp-Dataset.ipynb)          
 
 
 ### Reference Notebooks
-| # | Topic                                      | VS Notebook Link                                      | Github Link |
-|---|--------------------------------------------|-------------------------------------------------------|-------------|
-REF | Data Processing with DataFrame             |[Data Frame](https://ntbk.io/ml-ref-data-frame)        | [Data Frame](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Data%20Processing%20with%20DataFrame.ipynb)               
-REF | Graphs and Visualizations                  |[Visualizations](https://ntbk.io/ml-ref-visualizations)| [Visualizations](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Graphs%20and%20Visualizations.ipynb)
-REF | Kaggle Competitions (Titanic Dataset)      |[Kaggle](https://ntbk.io/ml-ref-kaggle-titanic)        | [Kaggle](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Kaggle%20with%20Titanic%20Dataset.ipynb) 
+| # | Topic                                      | Github Link |
+|---|--------------------------------------------|-------------|
+REF | Data Processing with DataFrame             | [Data Frame](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Data%20Processing%20with%20DataFrame.ipynb)  
+REF | Graphs and Visualizations                  | [Visualizations](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Graphs%20and%20Visualizations.ipynb)
+REF | Kaggle Competitions (Titanic Dataset)      | [Kaggle](https://github.com/dotnet/csharp-notebooks/blob/main/machine-learning/REF-Kaggle%20with%20Titanic%20Dataset.ipynb) 
 
 ## .NET Foundation