Skip to content

Update package list with FSharp.Stats as DS starting point #1009

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Jun 29, 2025
Merged

Update package list with FSharp.Stats as DS starting point #1009

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions guides/data-science/index.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -33,6 +33,7 @@ effortlessly using .NET Core. Use .NET Interactive to build .NET Jupyter noteboo
{: #integrated-packages .anchor }

* [FsLab](http://fslab.org/) is the F# Community Project Incubation Space For Data Science.
* [FSharp.Stats](https://fslab.org/FSharp.Stats/) - A multipurpose project for statistical testing, linear algebra, machine learning, fitting, and signal processing.

* [ML.NET](https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet/) - ML.NET is an open source and cross-platform machine learning framework sponsored by Microsoft. With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps.

Expand Down