Welcome to the home of .NET interactive notebooks for C#!
- Download the .NET Coding Pack for VS Code for Windows or macOS.
- Install the Polyglot Notebooks extension.
Download or clone this repo and open the csharp-101 folder in VS Code to get started with the C# 101 notebooks. Or, if you want just tap on one of the Notebook links below and automatically have it open in VS Code!
Download or clone this repo and open the machine-learning folder to get started with the machine-learning notebooks.
| # | Topic | Notebook Link |
|---|---|---|
| 1 | Intro to Machine Learning | 01 Notebook |
| 2 | Data Prep and Feature Engineering | 02 Notebook |
| 3 | Training and AutoML | 03 Notebook |
| 4 | Model Evaluation | 04 Notebook |
| 5 | AutoML Sweepable API | 05 Notebook |
| 6 | AutoML Tuners | 06 Notebook |
| # | Topic | Github Link |
|---|---|---|
| E2E | Classification using AutoML (Iris Dataset) | Iris E2E AutoML |
| E2E | Forecasting using Regression (Luna Dataset) | Luna E2E Regression |
| E2E | Forecasting using SSA (Luna Dataset) | Luna E2E SSA |
| E2E | Regression using AutoML (Taxi Dataset) | Taxi E2E AutoML |
| E2E | Text Classification API (Yelp Dataset) | Text Classification API |
| # | Topic | Github Link |
|---|---|---|
| REF | Data Processing with DataFrame | Data Frame |
| REF | Graphs and Visualizations | Visualizations |
| REF | Kaggle Competitions (Titanic Dataset) | Kaggle |
| REF | AutoML Search Space | AutoML Search Space |
.NET Interative Notebooks for C# is a .NET Foundation project.
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This project has adopted the code of conduct defined by the Contributor Covenant to clarify expected behavior in our community. For more information, see the .NET Foundation Code of Conduct.
.NET (including the csharp-notebooks repo) is licensed under the MIT license.